Revision: 20450
          http://sourceforge.net/p/gate/code/20450
Author:   gate-project
Date:     2025-06-24 12:14:18 +0000 (Tue, 24 Jun 2025)
Log Message:
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[jowright1] minor amendments for uniformity

Modified Paths:
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    gate/trunk/doc/papers.html
    gate/trunk/doc/papers.yam

Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html  2025-06-24 11:51:36 UTC (rev 20449)
+++ gate/trunk/doc/papers.html  2025-06-24 12:14:18 UTC (rev 20450)
@@ -98,19 +98,19 @@
 <h3 class="cow-heading">Journal papers</h3>
 
 <ul>
-<li>Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song and D. Maynard, 2025. 
<b>Cross-modal augmentation for few-shot multimodal fake news detection.</b> 
Engineering Applications of Artificial Intelligence, 142, 109931. <a 
class="cow-url" 
href="https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906";>https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906</a></li>
+<li>Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song and D. Maynard (2025) 
<b>Cross-modal augmentation for few-shot multimodal fake news detection.</b> 
Engineering Applications of Artificial Intelligence, 142, 109931. <a 
class="cow-url" 
href="https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906";>https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906</a></li>
 </ul>
 
 <ul>
-<li>J.A. Leite, O. Razuvayevskaya, K. Bontcheva, &amp; C. Scarton. (2025) 
<b>Weakly supervised veracity classification with LLM-predicted credibility 
signals.</b> EPJ Data Science 14.1: 16. <a class="cow-url" 
href="https://epjds.epj.org/articles/epjdata/abs/2025/01/13688_2025_Article_534/13688_2025_Article_534.html";>https://epjds.epj.org/articles/epjdata/abs/2025/01/13688_2025_Article_534/13688_2025_Article_534.html</a></li>
+<li>J.A. Leite, O. Razuvayevskaya, K. Bontcheva, &amp; C. Scarton (2025) 
<b>Weakly supervised veracity classification with LLM-predicted credibility 
signals.</b> EPJ Data Science 14.1: 16. <a class="cow-url" 
href="https://epjds.epj.org/articles/epjdata/abs/2025/01/13688_2025_Article_534/13688_2025_Article_534.html";>https://epjds.epj.org/articles/epjdata/abs/2025/01/13688_2025_Article_534/13688_2025_Article_534.html</a></li>
 </ul>
 
 <ul>
-<li>G.Rehm, S Piperidis, K Bontcheva, K Choukri, J Hajic. (2025) <b>Special 
issue on language technology platforms.</b> Language Resources and Evaluation, 
1-4. <a class="cow-url" 
href="https://link.springer.com/article/10.1007/s10579-025-09842-3";>https://link.springer.com/article/10.1007/s10579-025-09842-3</a></li>
+<li>G.Rehm, S Piperidis, K Bontcheva, K Choukri, J Hajic (2025) <b>Special 
issue on language technology platforms.</b> Language Resources and Evaluation, 
1-4. <a class="cow-url" 
href="https://link.springer.com/article/10.1007/s10579-025-09842-3";>https://link.springer.com/article/10.1007/s10579-025-09842-3</a></li>
 </ul>
 
 <ul>
-<li>F. Haouari, C. Scarton, N. Faggiani, N. Nikolaidis, B. Kotseva, I. A. 
Farha, J. Linge &amp; K. Bontcheva. (2025) <b>UKElectionNarratives: A Dataset 
of Misleading Narratives Surrounding Recent UK General Elections</b> 
Proceedings of the International AAAI Conference on Web and Social Media 
19.2477-2495 <a class="cow-url" 
href="https://ojs.aaai.org/index.php/ICWSM/article/view/35950";>https://ojs.aaai.org/index.php/ICWSM/article/view/35950</a></li>
+<li>F. Haouari, C. Scarton, N. Faggiani, N. Nikolaidis, B. Kotseva, I. A. 
Farha, J. Linge &amp; K. Bontcheva (2025) <b>UKElectionNarratives: A Dataset of 
Misleading Narratives Surrounding Recent UK General Elections</b> Proceedings 
of the International AAAI Conference on Web and Social Media 19.2477-2495 <a 
class="cow-url" 
href="https://ojs.aaai.org/index.php/ICWSM/article/view/35950";>https://ojs.aaai.org/index.php/ICWSM/article/view/35950</a></li>
 </ul>
 
 <ul>
@@ -119,25 +119,25 @@
 <h3 class="cow-heading">Conference papers</h3>
 
 <ul>
-<li>J.A. Leite, O. Razuvayevskaya, K. Bontcheva, &amp; C. Scarton. (2025) <b>A 
cross-domain study of the use of persuasion techniques in online 
disinformation.</b> Companion Proceedings of the ACM on Web Conference 2025. <a 
class="cow-url" 
href="https://dl.acm.org/doi/abs/10.1145/3701716.3715535";>https://dl.acm.org/doi/abs/10.1145/3701716.3715535</a></li>
+<li>J.A. Leite, O. Razuvayevskaya, K. Bontcheva, &amp; C. Scarton (2025) <b>A 
cross-domain study of the use of persuasion techniques in online 
disinformation.</b> Companion Proceedings of the ACM on Web Conference 2025. <a 
class="cow-url" 
href="https://dl.acm.org/doi/abs/10.1145/3701716.3715535";>https://dl.acm.org/doi/abs/10.1145/3701716.3715535</a></li>
 </ul>
 
 <ul>
-<li>O. Cook, Y. Mu, X. Yang, X. Song, K. Bontcheva. (2025) <b>A dataset for 
analysing news framing in Chinese media.</b> In Proceedings of the 
International AAAI Conference on Web and Social Media. <a class="cow-url" 
href="https://ojs.aaai.org/index.php/ICWSM/article/view/35943";>https://ojs.aaai.org/index.php/ICWSM/article/view/35943</a></li>
+<li>O. Cook, Y. Mu, X. Yang, X. Song, K. Bontcheva (2025) <b>A dataset for 
analysing news framing in Chinese media.</b> In Proceedings of the 
International AAAI Conference on Web and Social Media. <a class="cow-url" 
href="https://ojs.aaai.org/index.php/ICWSM/article/view/35943";>https://ojs.aaai.org/index.php/ICWSM/article/view/35943</a></li>
 </ul>
 
 <ul>
-<li>I. Singh, M. Colom, K. Bontcheva. (2025) <b>A Comparative Analysis of OCR 
Models on Diverse Datasets: Insights from Memes and Hiertext Dataset</b> In 
Proceedings of the Winter Conference on Applications of Computer Vision (WACV) 
Workshops, 2025, pp. 1343-1353. <a class="cow-url" 
href="https://openaccess.thecvf.com/content/WACV2025W/VISIONDOCS/html/Singh_A_Comparative_Analysis_of_OCR_Models_on_Diverse_Datasets_Insights_WACVW_2025_paper.html";>https://openaccess.thecvf.com/content/WACV2025W/VISIONDOCS/html/Singh_A_Comparative_Analysis_of_OCR_Models_on_Diverse_Datasets_Insights_WACVW_2025_paper.html</a></li>
+<li>I. Singh, M. Colom, K. Bontcheva (2025) <b>A Comparative Analysis of OCR 
Models on Diverse Datasets: Insights from Memes and Hiertext Dataset</b> In 
Proceedings of the Winter Conference on Applications of Computer Vision (WACV) 
Workshops, 2025, pp. 1343-1353. <a class="cow-url" 
href="https://openaccess.thecvf.com/content/WACV2025W/VISIONDOCS/html/Singh_A_Comparative_Analysis_of_OCR_Models_on_Diverse_Datasets_Insights_WACVW_2025_paper.html";>https://openaccess.thecvf.com/content/WACV2025W/VISIONDOCS/html/Singh_A_Comparative_Analysis_of_OCR_Models_on_Diverse_Datasets_Insights_WACVW_2025_paper.html</a></li>
 </ul>
 
 <h3 class="cow-heading">Pre-print</h3>
 
 <ul>
-<li>I. Singh, C. Scarton &amp; K. Bontcheva. (2025) <b>GateNLP at SemEval-2025 
Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative 
Classification</b>. <a class="cow-url" 
href="https://arxiv.org/pdf/2505.22867";>https://arxiv.org/pdf/2505.22867</a></li>
+<li>I. Singh, C. Scarton &amp; K. Bontcheva (2025) <b>GateNLP at SemEval-2025 
Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative 
Classification</b>. <a class="cow-url" 
href="https://arxiv.org/pdf/2505.22867";>https://arxiv.org/pdf/2505.22867</a></li>
 </ul>
 
 <ul>
-<li>M. Pandya, M. Jin, K. Bontcheva, D. Maynard. (2025) <b>Hostility Detection 
in UK Politics: A Dataset on Online Abuse Targeting MPs</b> <a class="cow-url" 
href="https://arxiv.org/abs/2412.04046";>https://arxiv.org/abs/2412.04046</a></li>
+<li>M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2025) <b>Hostility Detection 
in UK Politics: A Dataset on Online Abuse Targeting MPs</b> <a class="cow-url" 
href="https://arxiv.org/abs/2412.04046";>https://arxiv.org/abs/2412.04046</a></li>
 </ul>
 
 <ul>
@@ -151,11 +151,11 @@
 <h2 class="cow-heading">2024</h2><h3 class="cow-heading">Journal papers</h3>
  
 <ul>
-<li>Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras. (2024) <b>Predicting 
and Analyzing the Popularity of False Rumors in Weibo.</b> Expert Systems with 
Applications (Elsevier). <a class="cow-url" 
href="https://www.sciencedirect.com/science/article/pii/S0957417423032931";>https://www.sciencedirect.com/science/article/pii/S0957417423032931</a></li>
+<li>Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras (2024) <b>Predicting 
and Analyzing the Popularity of False Rumors in Weibo.</b> Expert Systems with 
Applications (Elsevier). <a class="cow-url" 
href="https://www.sciencedirect.com/science/article/pii/S0957417423032931";>https://www.sciencedirect.com/science/article/pii/S0957417423032931</a></li>
 </ul>
 
 <ul>
-<li>Olesya Razuvayevskaya, Ben Wu, Jo&atilde;o A. Leite, Freddy Heppell, Ivan 
Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song. (2024) <b>Comparison 
between parameter-efficient techniques and full fine-tuning: A case study on 
multilingual news article classification.</b> PLoS ONE 19 (5), e0301738. <a 
class="cow-url" 
href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738";>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738</a>
 </li>
+<li>Olesya Razuvayevskaya, Ben Wu, Jo&atilde;o A. Leite, Freddy Heppell, Ivan 
Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song (2024) <b>Comparison 
between parameter-efficient techniques and full fine-tuning: A case study on 
multilingual news article classification.</b> PLoS ONE 19 (5), e0301738. <a 
class="cow-url" 
href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738";>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738</a>
 </li>
 </ul>
 
 <ul>
@@ -166,9 +166,13 @@
 <li>F. A. Manchego, C. Scarton and L. Specia (2024) <b>Corpus-Based Sentence 
Simplification</b> Computational Linguistics <a class="cow-url" 
href="https://submissions.cljournal.org/index.php/cljournal/article/view/1311";>https://submissions.cljournal.org/index.php/cljournal/article/view/1311</a></li>
 </ul>
 
-<p>-M. V. V. Berto, B. L. Freitas, C. Scarton, J.A. Machado-Neto and T.A. 
Almeida (2024) <b>Accelerating discoveries in medicine using distributed vector 
representations of words</b> Expert Systems with Applications 250, 123566 <a 
class="cow-url" 
href="https://www.sciencedirect.com/science/article/abs/pii/S0957417424004317";>https://www.sciencedirect.com/science/article/abs/pii/S0957417424004317</a></p>
+<ul>
+<li>M. V. V. Berto, B. L. Freitas, C. Scarton, J.A. Machado-Neto and T.A. 
Almeida (2024) <b>Accelerating discoveries in medicine using distributed vector 
representations of words</b> Expert Systems with Applications 250, 123566 <a 
class="cow-url" 
href="https://www.sciencedirect.com/science/article/abs/pii/S0957417424004317";>https://www.sciencedirect.com/science/article/abs/pii/S0957417424004317</a></li>
+</ul>
 
-<p>-S. Vincent, R. Sumner, A. Dowek, C. Prescott, E. Preston, C. Bayliss, C. 
Oakley, C. Scarton (2024) <b>Reference-less Analysis of Context Specificity in 
Translation with Personalised Language Models</b> In Proceedings of the 2024 
Joint International Conference on Computational Linguistics, Language Resources 
and Evaluation (LREC-COLING 2024) <a class="cow-url" 
href="https://arxiv.org/abs/2303.16618";>https://arxiv.org/abs/2303.16618</a> 
</p>
+<ul>
+<li>S. Vincent, R. Sumner, A. Dowek, C. Prescott, E. Preston, C. Bayliss, C. 
Oakley, C. Scarton (2024) <b>Reference-less Analysis of Context Specificity in 
Translation with Personalised Language Models</b> In Proceedings of the 2024 
Joint International Conference on Computational Linguistics, Language Resources 
and Evaluation (LREC-COLING 2024) <a class="cow-url" 
href="https://arxiv.org/abs/2303.16618";>https://arxiv.org/abs/2303.16618</a> 
</li>
+</ul>
 
 <ul>
 <li>S. E. Leal, M. S. Duran, C. E. Scarton, N. S. Hartmann and S. M. 
Alu&iacute;sio (2024) <b>NILC-Metrix: assessing the complexity of written and 
spoken language in Brazilian Portuguese</b> Language Resources and Evaluation 
58 (1), 73-110 <a class="cow-url" 
href="https://link.springer.com/article/10.1007/s10579-023-09693-w";>https://link.springer.com/article/10.1007/s10579-023-09693-w</a></li>
@@ -181,23 +185,23 @@
 </ul>
 
 <ul>
-<li>Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song.  <b>Large Language 
Models Offer an Alternative to the Traditional Approach of Topic Modelling</b> 
LREC-COLING 2024 <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.887.pdf";>https://aclanthology.org/2024.lrec-main.887.pdf</a></li>
+<li>Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song (2024) <b>Large Language 
Models Offer an Alternative to the Traditional Approach of Topic Modelling</b> 
LREC-COLING 2024 <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.887.pdf";>https://aclanthology.org/2024.lrec-main.887.pdf</a></li>
 </ul>
 
 <ul>
-<li>Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song. <b>Examining 
Temporalities on Stance Detection Towards COVID-19 Vaccination.</b> LREC-COLING 
2024 <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.594/";>https://aclanthology.org/2024.lrec-main.594/</a></li>
+<li>Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song (2024) <b>Examining 
Temporalities on Stance Detection Towards COVID-19 Vaccination.</b> LREC-COLING 
2024 <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.594/";>https://aclanthology.org/2024.lrec-main.594/</a></li>
 </ul>
 
 <ul>
-<li>Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras. <b>Examining 
the Limitations of Computational Rumor Detection Models Trained on Static 
Datasets.</b> LREC-COLING 2024 <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.595.pdf";>https://aclanthology.org/2024.lrec-main.595.pdf</a></li>
+<li>Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras (2024) 
<b>Examining the Limitations of Computational Rumor Detection Models Trained on 
Static Datasets.</b> LREC-COLING 2024 <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.595.pdf";>https://aclanthology.org/2024.lrec-main.595.pdf</a></li>
 </ul>
 
 <ul>
-<li>Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, 
Carolina Scarton, Kalina Bontcheva, Xingyi Song. <b>Navigating Prompt 
Complexity for Zero-Shot Classification: A Study of Large Language Models in 
Computational Social Science.</b> LREC-COLING 2024 <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.1055/";>https://aclanthology.org/2024.lrec-main.1055/</a></li>
+<li>Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, 
Carolina Scarton, Kalina Bontcheva, Xingyi Song (2024) <b>Navigating Prompt 
Complexity for Zero-Shot Classification: A Study of Large Language Models in 
Computational Social Science.</b> LREC-COLING 2024 <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.1055/";>https://aclanthology.org/2024.lrec-main.1055/</a></li>
 </ul>
 
 <ul>
-<li>Yue Li and Carolina Scarton. 2024. <b>Can We Identify Stance without 
Target Arguments? A Study for Rumour Stance Classification.</b> In Proceedings 
of the 2024 Joint International Conference on Computational Linguistics, 
Language Resources and Evaluation (LREC-COLING 2024), pages 2844&ndash;2851, 
Torino, Italia. ELRA and ICCL. <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.253/";>https://aclanthology.org/2024.lrec-main.253/</a></li>
+<li>Yue Li and Carolina Scarton (2024) <b>Can We Identify Stance without 
Target Arguments? A Study for Rumour Stance Classification.</b> In Proceedings 
of the 2024 Joint International Conference on Computational Linguistics, 
Language Resources and Evaluation (LREC-COLING 2024), pages 2844&ndash;2851, 
Torino, Italia. ELRA and ICCL. <a class="cow-url" 
href="https://aclanthology.org/2024.lrec-main.253/";>https://aclanthology.org/2024.lrec-main.253/</a></li>
 </ul>
 
 <ul>
@@ -322,12 +326,12 @@
 <h2 class="cow-heading">2023</h2><h3 class="cow-heading">Journal papers</h3>
 
 <ul>
-<li>I. Singh, C. Scarton, K. Bontcheva (2024) <b>UTDRM: unsupervised method 
for training debunked-narrative retrieval models</b> EPJ Data Science 12 (1), 59
+<li>I. Singh, C. Scarton, K. Bontcheva (2023) <b>UTDRM: unsupervised method 
for training debunked-narrative retrieval models</b> EPJ Data Science 12 (1), 59
  <a class="cow-url" 
href="https://epjds.epj.org/articles/epjdata/abs/2023/01/13688_2023_Article_437/13688_2023_Article_437.html";>https://epjds.epj.org/articles/epjdata/abs/2023/01/13688_2023_Article_437/13688_2023_Article_437.html</a></li>
 </ul>
 
 <ul>
-<li>Ye Jiang; Xiaomin Yu; Yimin Wang; Xiaoman Xu; Xingyi Song; Diana Maynard. 
<b>Similarity-Aware Multimodal Prompt Learning for Fake News Detection.</b> 
Journal of Information Sciences (pre-print) <a class="cow-url" 
href="https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319";>https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319</a></li>
+<li>Ye Jiang; Xiaomin Yu; Yimin Wang; Xiaoman Xu; Xingyi Song; Diana Maynard 
(2023) <b>Similarity-Aware Multimodal Prompt Learning for Fake News 
Detection.</b> Journal of Information Sciences (pre-print) <a class="cow-url" 
href="https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319";>https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319</a></li>
 </ul>
 
 <ul>
@@ -337,7 +341,7 @@
 <h3 class="cow-heading">Conference papers</h3>
 
 <ul>
-<li>Freddy Heppell, Kalina Bontcheva, Carolina Scarton. <b>Analysing 
State-Backed Propaganda Websites: a New Dataset and Linguistic Study</b> 
(2023). In Proceedings of the 2023 Conference on Empirical Methods in Natural 
Language Processing: EMNLP 2023, pages 5729&ndash;5741, Singapore. Association 
for Computational Linguistics. <a class="cow-url" 
href="https://aclanthology.org/2023.emnlp-main.349/";>https://aclanthology.org/2023.emnlp-main.349/</a></li>
+<li>Freddy Heppell, Kalina Bontcheva, Carolina Scarton (2023) <b>Analysing 
State-Backed Propaganda Websites: a New Dataset and Linguistic Study</b> In 
Proceedings of the 2023 Conference on Empirical Methods in Natural Language 
Processing: EMNLP 2023, pages 5729&ndash;5741, Singapore. Association for 
Computational Linguistics. <a class="cow-url" 
href="https://aclanthology.org/2023.emnlp-main.349/";>https://aclanthology.org/2023.emnlp-main.349/</a></li>
 </ul>
 
 <ul>
@@ -349,19 +353,19 @@
 </ul>
 
 <ul>
-<li>B. Wu, O. Razuvayevskaya, F. Heppell, J. A. Leite, C. Scarton, K. 
Bontcheva, X. Song. <b>SheffieldVeraAI at SemEval-2023 Task 3: Mono and 
Multilingual Approaches for News Genre, Topic and Persuasion Technique 
Classification.</b> In Proceedings of the 17th International Workshop on 
Semantic Evaluation (SemEval-2023), pages 1995&ndash;2008, Toronto, Canada. 
Association for Computational Linguistics. <a class="cow-url" 
href="https://aclanthology.org/2023.semeval-1.275/";>https://aclanthology.org/2023.semeval-1.275/</a></li>
+<li>B. Wu, O. Razuvayevskaya, F. Heppell, J. A. Leite, C. Scarton, K. 
Bontcheva, X. Song (2023) <b>SheffieldVeraAI at SemEval-2023 Task 3: Mono and 
Multilingual Approaches for News Genre, Topic and Persuasion Technique 
Classification.</b> In Proceedings of the 17th International Workshop on 
Semantic Evaluation (SemEval-2023), pages 1995&ndash;2008, Toronto, Canada. 
Association for Computational Linguistics. <a class="cow-url" 
href="https://aclanthology.org/2023.semeval-1.275/";>https://aclanthology.org/2023.semeval-1.275/</a></li>
 </ul>
 
 <ul>
-<li>Y. Mu, K. Bontcheva and N. Aletras. <b>&quot;It's about Time: Rethinking 
Evaluation on Rumor Detection Benchmarks using Chronological Splits.&quot;</b> 
EACL Findings (2023). <a class="cow-url" 
href="https://arxiv.org/abs/2302.03147";>https://arxiv.org/abs/2302.03147</a></li>
+<li>Y. Mu, K. Bontcheva and N. Aletras (2023) <b>&quot;It's about Time: 
Rethinking Evaluation on Rumor Detection Benchmarks using Chronological 
Splits.&quot;</b> EACL Findings <a class="cow-url" 
href="https://arxiv.org/abs/2302.03147";>https://arxiv.org/abs/2302.03147</a></li>
 </ul>
 
 <ul>
-<li>Y. Mu, M. Jin, C. Grimshaw, C. Scarton, K. Bontcheva and X. Song. 
<b>&quot;VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 
Vaccination on Twitter.&quot;</b> In Proceedings of the International AAAI 
Conference on Web and Social Media (ICWSM 2023). <a class="cow-url" 
href="https://arxiv.org/abs/2301.06660";>https://arxiv.org/abs/2301.06660</a></li>
+<li>Y. Mu, M. Jin, C. Grimshaw, C. Scarton, K. Bontcheva and X. Song (2023) 
<b>&quot;VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 
Vaccination on Twitter.&quot;</b> In Proceedings of the International AAAI 
Conference on Web and Social Media (ICWSM 2023) <a class="cow-url" 
href="https://arxiv.org/abs/2301.06660";>https://arxiv.org/abs/2301.06660</a></li>
 </ul>
 
 <ul>
-<li>Y. Mu, Y. Jiang, F. Heppell, I. Singh, C. Scarton, K. Bontcheva, X. Song. 
<b>A Large-Scale Comparative Study of Accurate COVID-19 Information versus 
Misinformation.</b> ICWSM TrueHealth Workshop <a class="cow-url" 
href="https://arxiv.org/abs/2304.04811";>https://arxiv.org/abs/2304.04811</a></li>
+<li>Y. Mu, Y. Jiang, F. Heppell, I. Singh, C. Scarton, K. Bontcheva, X. Song 
(2023) <b>A Large-Scale Comparative Study of Accurate COVID-19 Information 
versus Misinformation.</b> ICWSM TrueHealth Workshop <a class="cow-url" 
href="https://arxiv.org/abs/2304.04811";>https://arxiv.org/abs/2304.04811</a></li>
 </ul>
 
 <ul>
@@ -386,7 +390,7 @@
 
 <h3 class="cow-heading">Pre-print</h3>
 <ul>
-<li>M. Jin, Y. Mu, D. Maynard, K. Bontcheva. <b>Examining Temporal Bias in 
Abusive Language Detection</b> <a class="cow-url" 
href="https://arxiv.org/abs/2309.14146";>https://arxiv.org/abs/2309.14146</a></li>
+<li>M. Jin, Y. Mu, D. Maynard, K. Bontcheva (2023) <b>Examining Temporal Bias 
in Abusive Language Detection</b> <a class="cow-url" 
href="https://arxiv.org/abs/2309.14146";>https://arxiv.org/abs/2309.14146</a></li>
 </ul>
 
 <ul>
@@ -465,7 +469,7 @@
 
 <h3 class="cow-heading">Conference papers</h3>
 <ul>
-<li>Yida Mu, Pu Niu, and Nikolaos Aletras. <b>&quot;Identifying and 
characterizing active citizens who refute misinformation in social 
media.&quot;</b> In 14th ACM Web Science Conference 2022, pp. 401-410. 2022. 
</li>
+<li>Yida Mu, Pu Niu, and Nikolaos Aletras (2022) <b>&quot;Identifying and 
characterizing active citizens who refute misinformation in social 
media.&quot;</b> In 14th ACM Web Science Conference 2022, pp. 401-410</li>
 </ul>
 
 <ul>
@@ -490,7 +494,7 @@
 
 <h3 class="cow-heading">Book chapters</h3>
 <ul>
-<li>Karen Jones, Diana Maynard, and Flurina Wartmann. <b>&quot;Best Practice 
for Forensic Fishing: Combining Text Processing with an Environmental History 
View of Historic Travel Writing in Loch Lomond, Scotland.&quot;</b> In Purves, 
Ross S., et al. &quot;Interdisciplinary Perspectives on Environmental 
Narratives.&quot; Unlocking Environmental Narratives: Towards Understanding 
Human Environment Interactions through Computational Text Analysis (2022): 17. 
<a class="cow-url" 
href="https://ubiquitypress.com/site/chapters/10.5334/bcs.g";>PDF</a></li>
+<li>Karen Jones, Diana Maynard, and Flurina Wartmann (2022) <b>&quot;Best 
Practice for Forensic Fishing: Combining Text Processing with an Environmental 
History View of Historic Travel Writing in Loch Lomond, Scotland.&quot;</b> In 
Purves, Ross S., et al. &quot;Interdisciplinary Perspectives on Environmental 
Narratives.&quot; Unlocking Environmental Narratives: Towards Understanding 
Human Environment Interactions through Computational Text Analysis (2022): 17. 
<a class="cow-url" 
href="https://ubiquitypress.com/site/chapters/10.5334/bcs.g";>PDF</a></li>
 </ul>
 
 <ul>
@@ -543,19 +547,19 @@
 <h2 class="cow-heading">2021</h2>
 <h3 class="cow-heading">Journal papers</h3>
 <ul>
-<li>M. van Erp, C. Reynolds, D. Maynard, A. Starke, R. 
Iba&ntilde;ez-Mart&iacute;n et al. <b>Using Natural Language Processing and 
Artificial Intelligence to explore the nutrition and sustainability of recipes 
and food.</b> Frontiers in Artificial Intelligence 2021. doi: 
10.3389/frai.2020.621577 <a class="cow-url" 
href="https://www.frontiersin.org/articles/10.3389/frai.2020.621577/full";>PDF</a></li>
+<li>M. van Erp, C. Reynolds, D. Maynard, A. Starke, R. 
Iba&ntilde;ez-Mart&iacute;n et al. (2021) <b>Using Natural Language Processing 
and Artificial Intelligence to explore the nutrition and sustainability of 
recipes and food.</b> Frontiers in Artificial Intelligence 2021. doi: 
10.3389/frai.2020.621577 <a class="cow-url" 
href="https://www.frontiersin.org/articles/10.3389/frai.2020.621577/full";>PDF</a></li>
 </ul>
 
 <ul>
-<li>X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard and K. Bontcheva. 
<b>&quot;Classification aware neural topic model for COVID-19 disinformation 
categorisation.&quot;</b> PloS one 16, no. 2 (2021): e0247086. <a 
class="cow-url" 
href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086";>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086</a></li>
+<li>X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard and K. Bontcheva (2021) 
<b>&quot;Classification aware neural topic model for COVID-19 disinformation 
categorisation.&quot;</b> PloS one 16, no. 2 (2021): e0247086. <a 
class="cow-url" 
href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086";>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086</a></li>
 </ul>
 
 <ul>
-<li>N. Chilman, X. Song, A. Roberts, E. Tolani, R. Stewart, Z. Chui, K. Birnie 
et al. <b>&quot;Text mining occupations from the mental health electronic 
health record: a natural language processing approach using records from the 
Clinical Record Interactive Search (CRIS) platform in south London, 
UK.&quot;</b> BMJ open 11, no. 3 (2021): e042274.</li>
+<li>N. Chilman, X. Song, A. Roberts, E. Tolani, R. Stewart, Z. Chui, K. Birnie 
et al. (2021) <b>&quot;Text mining occupations from the mental health 
electronic health record: a natural language processing approach using records 
from the Clinical Record Interactive Search (CRIS) platform in south London, 
UK.&quot;</b> BMJ open 11, no. 3 (2021): e042274.</li>
 </ul>
 
 <ul>
-<li>I. Singh, C. Scarton, and K. Bontcheva. <b>&quot;Multistage BiCross 
encoder for multilingual access to COVID-19 health information.&quot;</b> Plos 
one 16, no. 9 (2021): e0256874. <a class="cow-url" 
href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256874";>PDF</a></li>
+<li>I. Singh, C. Scarton, and K. Bontcheva (2021) <b>&quot;Multistage BiCross 
encoder for multilingual access to COVID-19 health information.&quot;</b> Plos 
one 16, no. 9 (2021): e0256874. <a class="cow-url" 
href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256874";>PDF</a></li>
 </ul>
 
 <ul>
@@ -635,7 +639,7 @@
 <h3 class="cow-heading">Other</h3>
 
 <ul>
-<li>J. Posetti, D. Maynard and K. Bontcheva. <b>Maria Ressa: Fighting an 
Onslaught of Online Violence.</b>  ICFJ, Washington, D.C., March 2021. <a 
class="cow-url" 
href="https://www.icfj.org/sites/default/files/2021-03/Maria%20Ressa-%20Fighting%20an%20Onslaught%20of%20Online%20Violence_0.pdf";>PDF</a></li>
+<li>J. Posetti, D. Maynard and K. Bontcheva (2021) <b>Maria Ressa: Fighting an 
Onslaught of Online Violence.</b>  ICFJ, Washington, D.C., March 2021. <a 
class="cow-url" 
href="https://www.icfj.org/sites/default/files/2021-03/Maria%20Ressa-%20Fighting%20an%20Onslaught%20of%20Online%20Violence_0.pdf";>PDF</a></li>
 </ul>
 
 <ul>
@@ -643,7 +647,7 @@
 </ul>
 
  <ul>
- <li>Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug 
Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke, 
Diana Maynard, Christoph Trattner. <b>Comparing the environmental impacts of 
recipes from four different recipe databases using Natural Language 
Processing.</b> <a class="cow-url" href="LEAP-Poster-2021.pdf">Poster</a> 
presented at Livestock, Environment and People (LEAP) conference, 6 December 
2021, Oxford, UK.</li>
+ <li>Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug 
Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke, 
Diana Maynard, Christoph Trattner (2021) <b>Comparing the environmental impacts 
of recipes from four different recipe databases using Natural Language 
Processing.</b> <a class="cow-url" href="LEAP-Poster-2021.pdf">Poster</a> 
presented at Livestock, Environment and People (LEAP) conference, 6 December 
2021, Oxford, UK.</li>
  </ul>
 
 <h2 class="cow-heading">2020</h2>
@@ -650,11 +654,11 @@
 <h3 class="cow-heading">Journal papers</h3>
 
 <ul>
-<li>D. Maynard, B. Lepori, J. Petrak, X. Song, P. Lar&eacute;do. <b>Using 
ontologies to map between research data and policymakers&rsquo; presumptions: 
the experience of the KNOWMAK project.</b> Journal of Scientometrics 2020. DOI: 
10.1007/s11192-020-03664-6. <a class="cow-url" 
href="https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst";>Springer
 link</a></li>
+<li>D. Maynard, B. Lepori, J. Petrak, X. Song, P. Lar&eacute;do (2020) 
<b>Using ontologies to map between research data and policymakers&rsquo; 
presumptions: the experience of the KNOWMAK project.</b> Journal of 
Scientometrics 2020. DOI: 10.1007/s11192-020-03664-6. <a class="cow-url" 
href="https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst";>Springer
 link</a></li>
 </ul>
 
 <ul>
-<li>J. Harrison, D. Maynard and S. Torsner. <b>Strengthening the Monitoring of 
SDG 16.10.1 and the Manifestations of Violations against Journalists through an 
Events-based Methodology.</b> Journal of Media and Communication, vol. 8, no. 
1: Rethinking the Safety of Journalists, 2020. <a class="cow-url" 
href="https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543";>online
 version</a></li>
+<li>J. Harrison, D. Maynard and S. Torsner (2020) <b>Strengthening the 
Monitoring of SDG 16.10.1 and the Manifestations of Violations against 
Journalists through an Events-based Methodology.</b> Journal of Media and 
Communication, vol. 8, no. 1: Rethinking the Safety of Journalists, 2020. <a 
class="cow-url" 
href="https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543";>online
 version</a></li>
 </ul>
 
 <ul>
@@ -662,11 +666,11 @@
 </ul>
 
 <ul>
-<li>Y. Mu, and N. Aletras. <b>&quot;Identifying Twitter users who repost 
unreliable news sources with linguistic information.&quot;</b> PeerJ Computer 
Science 6 (2020): e325.</li>
+<li>Y. Mu, and N. Aletras (2020) <b>&quot;Identifying Twitter users who repost 
unreliable news sources with linguistic information.&quot;</b> PeerJ Computer 
Science 6 (2020): e325.</li>
 </ul>
 
 <ul>
-<li>T. Farrell, G. Gorrell and K. Bontcheva. <b>Vindication, virtue, and 
vitriol.</b> Journal of Computational Social Science, vol 3, no 2. 2020. <a 
class="cow-url" 
href="https://link.springer.com/article/10.1007/s42001-020-00090-9";>online 
version</a>.</li>
+<li>T. Farrell, G. Gorrell and K. Bontcheva (2020) <b>Vindication, virtue, and 
vitriol.</b> Journal of Computational Social Science, vol 3, no 2. 2020. <a 
class="cow-url" 
href="https://link.springer.com/article/10.1007/s42001-020-00090-9";>online 
version</a>.</li>
 </ul>
 
 <ul>
@@ -688,19 +692,19 @@
 <h3 class="cow-heading">Conference papers</h3>
 
 <ul>
-<li>D. Maynard and A. Funk. <b>Combining expert knowledge with NLP for 
specialised applications.</b> Proc. of 23rd International Conference on Text, 
Speech and Dialogue (TSD), Brno, Czech Republic, Sep 8-11, 2020. <a 
class="cow-url" 
href="https://link.springer.com/chapter/10.1007/978-3-030-58323-1_1";>Springer 
link</a></li>
+<li>D. Maynard and A. Funk (2020) <b>Combining expert knowledge with NLP for 
specialised applications.</b> Proc. of 23rd International Conference on Text, 
Speech and Dialogue (TSD), Brno, Czech Republic, Sep 8-11, 2020. <a 
class="cow-url" 
href="https://link.springer.com/chapter/10.1007/978-3-030-58323-1_1";>Springer 
link</a></li>
 </ul>
 
 <ul>
-<li>X. Song, J. Downs, S. Velupillai, R. Holden, M. Kikoler, K. Bontcheva, R. 
Dutta, A. Roberts. (2020) <b>Using Deep Neural Networks with Intra- and 
Inter-Sentence Context to Classify Suicidal Behaviour.</b> In the 12th 
International Conference on Language Resources and Evaluation, 2020 <a 
class="cow-url" 
href="https://aclanthology.org/2020.lrec-1.163/";>https://aclanthology.org/2020.lrec-1.163/</a></li>
+<li>X. Song, J. Downs, S. Velupillai, R. Holden, M. Kikoler, K. Bontcheva, R. 
Dutta, A. Roberts (2020) <b>Using Deep Neural Networks with Intra- and 
Inter-Sentence Context to Classify Suicidal Behaviour.</b> In the 12th 
International Conference on Language Resources and Evaluation, 2020 <a 
class="cow-url" 
href="https://aclanthology.org/2020.lrec-1.163/";>https://aclanthology.org/2020.lrec-1.163/</a></li>
 </ul>
 
 <ul>
-<li>Jie Gao, Sooji Han, Xingyi Song and Fabio Ciravegna. <b>RP-DNN: A Tweet 
level propagation context based deep neural networks for early rumor detection 
in Social Media.</b> In the 12th International Conference on Language Resources 
and Evaluation, 2020</li>
+<li>Jie Gao, Sooji Han, Xingyi Song and Fabio Ciravegna (2020) <b>RP-DNN: A 
Tweet level propagation context based deep neural networks for early rumor 
detection in Social Media.</b> In the 12th International Conference on Language 
Resources and Evaluation, 2020</li>
 </ul>
 
 <ul>
-<li>Natasha Chilman, Xingyi Song, Angus Roberts, Robert Stewart, Anna 
Kolliakou and Jayati Das-Munshi. <b>Text-Mining Occupations from the Electronic 
Health Record: The Development and Evaluation of a Natural Language Processing 
Application to Extract Occupations from the Clinical Record Interactive 
Search(CRIS) Case Register.</b> In: UK healthcare text analytics conference, 
2020</li>
+<li>Natasha Chilman, Xingyi Song, Angus Roberts, Robert Stewart, Anna 
Kolliakou and Jayati Das-Munshi (2020) <b>Text-Mining Occupations from the 
Electronic Health Record: The Development and Evaluation of a Natural Language 
Processing Application to Extract Occupations from the Clinical Record 
Interactive Search(CRIS) Case Register.</b> In: UK healthcare text analytics 
conference, 2020</li>
 </ul>
 
 <ul>

Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam   2025-06-24 11:51:36 UTC (rev 20449)
+++ gate/trunk/doc/papers.yam   2025-06-24 12:14:18 UTC (rev 20450)
@@ -46,30 +46,30 @@
 
 %3* Journal papers
 
-- Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song and D. Maynard, 2025. 
*Cross-modal augmentation for few-shot multimodal fake news detection.* 
Engineering Applications of Artificial Intelligence, 142, 109931. 
%(https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906)
+- Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song and D. Maynard (2025) 
*Cross-modal augmentation for few-shot multimodal fake news detection.* 
Engineering Applications of Artificial Intelligence, 142, 109931. 
%(https://www.sciencedirect.com/science/article/abs/pii/S0952197624020906)
 
-- J.A. Leite, O. Razuvayevskaya, K. Bontcheva, & C. Scarton. (2025) *Weakly 
supervised veracity classification with LLM-predicted credibility signals.* EPJ 
Data Science 14.1: 16. 
%(https://epjds.epj.org/articles/epjdata/abs/2025/01/13688_2025_Article_534/13688_2025_Article_534.html)
+- J.A. Leite, O. Razuvayevskaya, K. Bontcheva, & C. Scarton (2025) *Weakly 
supervised veracity classification with LLM-predicted credibility signals.* EPJ 
Data Science 14.1: 16. 
%(https://epjds.epj.org/articles/epjdata/abs/2025/01/13688_2025_Article_534/13688_2025_Article_534.html)
 
-- G.Rehm, S Piperidis, K Bontcheva, K Choukri, J Hajic. (2025) *Special issue 
on language technology platforms.* Language Resources and Evaluation, 1-4. 
%(https://link.springer.com/article/10.1007/s10579-025-09842-3)
+- G.Rehm, S Piperidis, K Bontcheva, K Choukri, J Hajic (2025) *Special issue 
on language technology platforms.* Language Resources and Evaluation, 1-4. 
%(https://link.springer.com/article/10.1007/s10579-025-09842-3)
 
-- F. Haouari, C. Scarton, N. Faggiani, N. Nikolaidis, B. Kotseva, I. A. Farha, 
J. Linge & K. Bontcheva. (2025) *UKElectionNarratives: A Dataset of Misleading 
Narratives Surrounding Recent UK General Elections* Proceedings of the 
International AAAI Conference on Web and Social Media 19.2477-2495 
%(https://ojs.aaai.org/index.php/ICWSM/article/view/35950)
+- F. Haouari, C. Scarton, N. Faggiani, N. Nikolaidis, B. Kotseva, I. A. Farha, 
J. Linge & K. Bontcheva (2025) *UKElectionNarratives: A Dataset of Misleading 
Narratives Surrounding Recent UK General Elections* Proceedings of the 
International AAAI Conference on Web and Social Media 19.2477-2495 
%(https://ojs.aaai.org/index.php/ICWSM/article/view/35950)
 
 - W. He, T. K. Vieira, M. Garcia, C. Scarton, M. Idiart, A. Villavicencio 
(2025) *Investigating Idiomaticity in Word Representations* Computational 
Linguistics, 1-51 
%(https://direct.mit.edu/coli/article/doi/10.1162/coli_a_00546/125289)
 
 %3* Conference papers
 
-- J.A. Leite, O. Razuvayevskaya, K. Bontcheva, & C. Scarton. (2025) *A 
cross-domain study of the use of persuasion techniques in online 
disinformation.* Companion Proceedings of the ACM on Web Conference 2025. 
%(https://dl.acm.org/doi/abs/10.1145/3701716.3715535)
+- J.A. Leite, O. Razuvayevskaya, K. Bontcheva, & C. Scarton (2025) *A 
cross-domain study of the use of persuasion techniques in online 
disinformation.* Companion Proceedings of the ACM on Web Conference 2025. 
%(https://dl.acm.org/doi/abs/10.1145/3701716.3715535)
 
-- O. Cook, Y. Mu, X. Yang, X. Song, K. Bontcheva. (2025) *A dataset for 
analysing news framing in Chinese media.* In Proceedings of the International 
AAAI Conference on Web and Social Media. 
%(https://ojs.aaai.org/index.php/ICWSM/article/view/35943)
+- O. Cook, Y. Mu, X. Yang, X. Song, K. Bontcheva (2025) *A dataset for 
analysing news framing in Chinese media.* In Proceedings of the International 
AAAI Conference on Web and Social Media. 
%(https://ojs.aaai.org/index.php/ICWSM/article/view/35943)
 
-- I. Singh, M. Colom, K. Bontcheva. (2025) *A Comparative Analysis of OCR 
Models on Diverse Datasets: Insights from Memes and Hiertext Dataset* In 
Proceedings of the Winter Conference on Applications of Computer Vision (WACV) 
Workshops, 2025, pp. 1343-1353. 
%(https://openaccess.thecvf.com/content/WACV2025W/VISIONDOCS/html/Singh_A_Comparative_Analysis_of_OCR_Models_on_Diverse_Datasets_Insights_WACVW_2025_paper.html)
+- I. Singh, M. Colom, K. Bontcheva (2025) *A Comparative Analysis of OCR 
Models on Diverse Datasets: Insights from Memes and Hiertext Dataset* In 
Proceedings of the Winter Conference on Applications of Computer Vision (WACV) 
Workshops, 2025, pp. 1343-1353. 
%(https://openaccess.thecvf.com/content/WACV2025W/VISIONDOCS/html/Singh_A_Comparative_Analysis_of_OCR_Models_on_Diverse_Datasets_Insights_WACVW_2025_paper.html)
 
 
 %3* Pre-print
 
-- I. Singh, C. Scarton & K. Bontcheva. (2025) *GateNLP at SemEval-2025 Task 
10: Hierarchical Three-Step Prompting for Multilingual Narrative 
Classification*. %(https://arxiv.org/pdf/2505.22867)
+- I. Singh, C. Scarton & K. Bontcheva (2025) *GateNLP at SemEval-2025 Task 10: 
Hierarchical Three-Step Prompting for Multilingual Narrative Classification*. 
%(https://arxiv.org/pdf/2505.22867)
 
-- M. Pandya, M. Jin, K. Bontcheva, D. Maynard. (2025) *Hostility Detection in 
UK Politics: A Dataset on Online Abuse Targeting MPs* 
%(https://arxiv.org/abs/2412.04046)
+- M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2025) *Hostility Detection in 
UK Politics: A Dataset on Online Abuse Targeting MPs* 
%(https://arxiv.org/abs/2412.04046)
 
 - J. Vasilakes, C. Scarton and Z. Zhao (2025) *Exploring Vision Language 
Models for Multimodal and Multilingual Stance Detection* 
%(https://arxiv.org/abs/2501.17654)
 
@@ -79,17 +79,17 @@
 %2* 2024
 %3* Journal papers
  
-- Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras. (2024) *Predicting and 
Analyzing the Popularity of False Rumors in Weibo.* Expert Systems with 
Applications (Elsevier). 
%(https://www.sciencedirect.com/science/article/pii/S0957417423032931)
+- Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras (2024) *Predicting and 
Analyzing the Popularity of False Rumors in Weibo.* Expert Systems with 
Applications (Elsevier). 
%(https://www.sciencedirect.com/science/article/pii/S0957417423032931)
 
-- Olesya Razuvayevskaya, Ben Wu, João A. Leite, Freddy Heppell, Ivan Srba, 
Carolina Scarton, Kalina Bontcheva, Xingyi Song. (2024) *Comparison between 
parameter-efficient techniques and full fine-tuning: A case study on 
multilingual news article classification.* PLoS ONE 19 (5), e0301738. 
%(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738) 
+- Olesya Razuvayevskaya, Ben Wu, João A. Leite, Freddy Heppell, Ivan Srba, 
Carolina Scarton, Kalina Bontcheva, Xingyi Song (2024) *Comparison between 
parameter-efficient techniques and full fine-tuning: A case study on 
multilingual news article classification.* PLoS ONE 19 (5), e0301738. 
%(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738) 
 
 - M.E. Bakir, T. Farrell, K. Bontcheva (2024) *Abuse in the time of COVID-19: 
the effects of Brexit, gender and partisanship* Online Information Review 48 
(5), 1045-1062 
%(https://www.emerald.com/insight/content/doi/10.1108/oir-07-2022-0392/full/html)
 
 - F. A. Manchego, C. Scarton and L. Specia (2024) *Corpus-Based Sentence 
Simplification* Computational Linguistics 
%(https://submissions.cljournal.org/index.php/cljournal/article/view/1311)
 
--M. V. V. Berto, B. L. Freitas, C. Scarton, J.A. Machado-Neto and T.A. Almeida 
(2024) *Accelerating discoveries in medicine using distributed vector 
representations of words* Expert Systems with Applications 250, 123566 
%(https://www.sciencedirect.com/science/article/abs/pii/S0957417424004317)
+- M. V. V. Berto, B. L. Freitas, C. Scarton, J.A. Machado-Neto and T.A. 
Almeida (2024) *Accelerating discoveries in medicine using distributed vector 
representations of words* Expert Systems with Applications 250, 123566 
%(https://www.sciencedirect.com/science/article/abs/pii/S0957417424004317)
 
--S. Vincent, R. Sumner, A. Dowek, C. Prescott, E. Preston, C. Bayliss, C. 
Oakley, C. Scarton (2024) *Reference-less Analysis of Context Specificity in 
Translation with Personalised Language Models* In Proceedings of the 2024 Joint 
International Conference on Computational Linguistics, Language Resources and 
Evaluation (LREC-COLING 2024) %(https://arxiv.org/abs/2303.16618) 
+- S. Vincent, R. Sumner, A. Dowek, C. Prescott, E. Preston, C. Bayliss, C. 
Oakley, C. Scarton (2024) *Reference-less Analysis of Context Specificity in 
Translation with Personalised Language Models* In Proceedings of the 2024 Joint 
International Conference on Computational Linguistics, Language Resources and 
Evaluation (LREC-COLING 2024) %(https://arxiv.org/abs/2303.16618) 
 
 - S. E. Leal, M. S. Duran, C. E. Scarton, N. S. Hartmann and S. M. Aluísio 
(2024) *NILC-Metrix: assessing the complexity of written and spoken language in 
Brazilian Portuguese* Language Resources and Evaluation 58 (1), 73-110 
%(https://link.springer.com/article/10.1007/s10579-023-09693-w)
 
@@ -98,15 +98,15 @@
 
 - J.A. Leite, O. Razuvayevskaya, K. Bontcheva, & C. Scarton (2024) 
*EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin 
Disinformation in News Articles.* In Proceedings of the 33rd ACM International 
Conference on Information and Knowledge Management (CIKM 2024) 
%(https://dl.acm.org/doi/abs/10.1145/3627673.3679167)
 
-- Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song.  *Large Language Models 
Offer an Alternative to the Traditional Approach of Topic Modelling* 
LREC-COLING 2024 %(https://aclanthology.org/2024.lrec-main.887.pdf)
+- Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song (2024) *Large Language 
Models Offer an Alternative to the Traditional Approach of Topic Modelling* 
LREC-COLING 2024 %(https://aclanthology.org/2024.lrec-main.887.pdf)
 
-- Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song. *Examining Temporalities 
on Stance Detection Towards COVID-19 Vaccination.* LREC-COLING 2024 
%(https://aclanthology.org/2024.lrec-main.594/)
+- Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song (2024) *Examining 
Temporalities on Stance Detection Towards COVID-19 Vaccination.* LREC-COLING 
2024 %(https://aclanthology.org/2024.lrec-main.594/)
 
-- Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras. *Examining the 
Limitations of Computational Rumor Detection Models Trained on Static 
Datasets.* LREC-COLING 2024 %(https://aclanthology.org/2024.lrec-main.595.pdf)
+- Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras (2024) 
*Examining the Limitations of Computational Rumor Detection Models Trained on 
Static Datasets.* LREC-COLING 2024 
%(https://aclanthology.org/2024.lrec-main.595.pdf)
 
-- Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, 
Carolina Scarton, Kalina Bontcheva, Xingyi Song. *Navigating Prompt Complexity 
for Zero-Shot Classification: A Study of Large Language Models in Computational 
Social Science.* LREC-COLING 2024 
%(https://aclanthology.org/2024.lrec-main.1055/)
+- Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, 
Carolina Scarton, Kalina Bontcheva, Xingyi Song (2024) *Navigating Prompt 
Complexity for Zero-Shot Classification: A Study of Large Language Models in 
Computational Social Science.* LREC-COLING 2024 
%(https://aclanthology.org/2024.lrec-main.1055/)
 
-- Yue Li and Carolina Scarton. 2024. *Can We Identify Stance without Target 
Arguments? A Study for Rumour Stance Classification.* In Proceedings of the 
2024 Joint International Conference on Computational Linguistics, Language 
Resources and Evaluation (LREC-COLING 2024), pages 2844–2851, Torino, Italia. 
ELRA and ICCL. %(https://aclanthology.org/2024.lrec-main.253/)
+- Yue Li and Carolina Scarton (2024) *Can We Identify Stance without Target 
Arguments? A Study for Rumour Stance Classification.* In Proceedings of the 
2024 Joint International Conference on Computational Linguistics, Language 
Resources and Evaluation (LREC-COLING 2024), pages 2844–2851, Torino, Italia. 
ELRA and ICCL. %(https://aclanthology.org/2024.lrec-main.253/)
 
 - W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) *Increasing the 
Difficulty of Automatically Generated Questions via Reinforcement Learning with 
Synthetic Preference.* Proc oftThe 4th International Conference on Natural 
Language Processing for Digital Humanities – NLP4DH 2024. 
%(https://arxiv.org/pdf/2410.08289, arXiv pre-print)
 
@@ -175,10 +175,10 @@
 %2* 2023
 %3* Journal papers
 
-- I. Singh, C. Scarton, K. Bontcheva (2024) *UTDRM: unsupervised method for 
training debunked-narrative retrieval models* EPJ Data Science 12 (1), 59
+- I. Singh, C. Scarton, K. Bontcheva (2023) *UTDRM: unsupervised method for 
training debunked-narrative retrieval models* EPJ Data Science 12 (1), 59
  
%(https://epjds.epj.org/articles/epjdata/abs/2023/01/13688_2023_Article_437/13688_2023_Article_437.html)
 
-- Ye Jiang; Xiaomin Yu; Yimin Wang; Xiaoman Xu; Xingyi Song; Diana Maynard. 
*Similarity-Aware Multimodal Prompt Learning for Fake News Detection.* Journal 
of Information Sciences (pre-print) 
%(https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319)
+- Ye Jiang; Xiaomin Yu; Yimin Wang; Xiaoman Xu; Xingyi Song; Diana Maynard 
(2023) *Similarity-Aware Multimodal Prompt Learning for Fake News Detection.* 
Journal of Information Sciences (pre-print) 
%(https://www.sciencedirect.com/science/article/abs/pii/S0020025523010319)
 
 - T. Goldsack, Z. Zhang, C. Lin, C. Scarton (2023) *Domain-Driven and 
Discourse-Guided Scientific Summarisation* European Conference on Information 
Retrieval, 361-376 
%(https://link.springer.com/chapter/10.1007/978-3-031-28244-7_23)
 
@@ -185,19 +185,19 @@
 
 %3* Conference papers
 
-- Freddy Heppell, Kalina Bontcheva, Carolina Scarton. *Analysing State-Backed 
Propaganda Websites: a New Dataset and Linguistic Study* (2023). In Proceedings 
of the 2023 Conference on Empirical Methods in Natural Language Processing: 
EMNLP 2023, pages 5729–5741, Singapore. Association for Computational 
Linguistics. %(https://aclanthology.org/2023.emnlp-main.349/)
+- Freddy Heppell, Kalina Bontcheva, Carolina Scarton (2023) *Analysing 
State-Backed Propaganda Websites: a New Dataset and Linguistic Study* In 
Proceedings of the 2023 Conference on Empirical Methods in Natural Language 
Processing: EMNLP 2023, pages 5729–5741, Singapore. Association for 
Computational Linguistics. %(https://aclanthology.org/2023.emnlp-main.349/)
 
 - M. Canute, M. Jin, H. Holtzclaw, A. Lusoli, P. Adams, M. Pandya, M. Taboada, 
D. Maynard, and W. H. K. Chun (2023) *Dimensions of Online Conflict: Towards 
Modeling Agonism.* In Findings of the Association for Computational 
Linguistics: EMNLP 2023, pages 12194–12209, Singapore. Association for 
Computational Linguistics. %(https://aclanthology.org/2023.findings-emnlp.816/)
 
 - B. Wu, Y. Li, Y. Mu, C. Scarton, K. Bontcheva and X. Song (2023) *Don’t 
waste a single annotation: improving single-label classifiers through soft 
labels.* In Findings of the Association for Computational Linguistics: EMNLP 
2023, pages 5347–5355, Singapore. Association for Computational Linguistics. 
%(https://aclanthology.org/2023.findings-emnlp.355/)
 
-- B. Wu, O. Razuvayevskaya, F. Heppell, J. A. Leite, C. Scarton, K. Bontcheva, 
X. Song. *SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual 
Approaches for News Genre, Topic and Persuasion Technique Classification.* In 
Proceedings of the 17th International Workshop on Semantic Evaluation 
(SemEval-2023), pages 1995–2008, Toronto, Canada. Association for Computational 
Linguistics. %(https://aclanthology.org/2023.semeval-1.275/)
+- B. Wu, O. Razuvayevskaya, F. Heppell, J. A. Leite, C. Scarton, K. Bontcheva, 
X. Song (2023) *SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual 
Approaches for News Genre, Topic and Persuasion Technique Classification.* In 
Proceedings of the 17th International Workshop on Semantic Evaluation 
(SemEval-2023), pages 1995–2008, Toronto, Canada. Association for Computational 
Linguistics. %(https://aclanthology.org/2023.semeval-1.275/)
 
-- Y. Mu, K. Bontcheva and N. Aletras. *"It's about Time: Rethinking Evaluation 
on Rumor Detection Benchmarks using Chronological Splits."* EACL Findings 
(2023). %(https://arxiv.org/abs/2302.03147)
+- Y. Mu, K. Bontcheva and N. Aletras (2023) *"It's about Time: Rethinking 
Evaluation on Rumor Detection Benchmarks using Chronological Splits."* EACL 
Findings %(https://arxiv.org/abs/2302.03147)
 
-- Y. Mu, M. Jin, C. Grimshaw, C. Scarton, K. Bontcheva and X. Song. 
*"VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination 
on Twitter."* In Proceedings of the International AAAI Conference on Web and 
Social Media (ICWSM 2023). %(https://arxiv.org/abs/2301.06660)
+- Y. Mu, M. Jin, C. Grimshaw, C. Scarton, K. Bontcheva and X. Song (2023) 
*"VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination 
on Twitter."* In Proceedings of the International AAAI Conference on Web and 
Social Media (ICWSM 2023) %(https://arxiv.org/abs/2301.06660)
 
-- Y. Mu, Y. Jiang, F. Heppell, I. Singh, C. Scarton, K. Bontcheva, X. Song. *A 
Large-Scale Comparative Study of Accurate COVID-19 Information versus 
Misinformation.* ICWSM TrueHealth Workshop %(https://arxiv.org/abs/2304.04811)
+- Y. Mu, Y. Jiang, F. Heppell, I. Singh, C. Scarton, K. Bontcheva, X. Song 
(2023) *A Large-Scale Comparative Study of Accurate COVID-19 Information versus 
Misinformation.* ICWSM TrueHealth Workshop %(https://arxiv.org/abs/2304.04811)
 
 - D. Wilby, T. Karmakharm, I. Roberts, X. Song, K. Bontcheva (2023) *GATE 
Teamware 2: An open-source tool for collaborative document classification 
annotation* In Proceedings of the 17th Conference of the European Chapter of 
the Association for Computational Linguistics: System Demonstrations 
%(https://aclanthology.org/2023.eacl-demo.17.pdf)
 
@@ -211,7 +211,7 @@
 
 
 %3* Pre-print
-- M. Jin, Y. Mu, D. Maynard, K. Bontcheva. *Examining Temporal Bias in Abusive 
Language Detection* %(https://arxiv.org/abs/2309.14146)
+- M. Jin, Y. Mu, D. Maynard, K. Bontcheva (2023) *Examining Temporal Bias in 
Abusive Language Detection* %(https://arxiv.org/abs/2309.14146)
 
 - Y. Mu, X. Song, K. Bontcheva, N. Aletras (2023) *Examining the limitations 
of computational rumor detection models trained on static datasets* 
%(https://arxiv.org/abs/2309.11576)
 %3* Other
@@ -259,7 +259,7 @@
 
 
 %3* Conference papers
-- Yida Mu, Pu Niu, and Nikolaos Aletras. *"Identifying and characterizing 
active citizens who refute misinformation in social media."* In 14th ACM Web 
Science Conference 2022, pp. 401-410. 2022. 
+- Yida Mu, Pu Niu, and Nikolaos Aletras (2022) *"Identifying and 
characterizing active citizens who refute misinformation in social media."* In 
14th ACM Web Science Conference 2022, pp. 401-410
 
 - Iknoor Singh, Kalina Bontcheva, Xingyi Song, and Carolina Scarton. (2022) 
*"Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related 
Debunks and Disinformation."* In Social Informatics: 13th International 
Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, Proceedings, pp. 
128-143. Cham: Springer International Publishing, 2022. 
%(https://link.springer.com/chapter/10.1007/978-3-031-19097-1_8, PDF) 
%(https://zenodo.org/record/6992686#.Y_jnrezP1UI, Dataset)
 
@@ -273,7 +273,7 @@
 
 
 %3* Book chapters
-- Karen Jones, Diana Maynard, and Flurina Wartmann. *"Best Practice for 
Forensic Fishing: Combining Text Processing with an Environmental History View 
of Historic Travel Writing in Loch Lomond, Scotland."* In Purves, Ross S., et 
al. "Interdisciplinary Perspectives on Environmental Narratives." Unlocking 
Environmental Narratives: Towards Understanding Human Environment Interactions 
through Computational Text Analysis (2022): 17. 
%(https://ubiquitypress.com/site/chapters/10.5334/bcs.g, PDF)
+- Karen Jones, Diana Maynard, and Flurina Wartmann (2022) *"Best Practice for 
Forensic Fishing: Combining Text Processing with an Environmental History View 
of Historic Travel Writing in Loch Lomond, Scotland."* In Purves, Ross S., et 
al. "Interdisciplinary Perspectives on Environmental Narratives." Unlocking 
Environmental Narratives: Towards Understanding Human Environment Interactions 
through Computational Text Analysis (2022): 17. 
%(https://ubiquitypress.com/site/chapters/10.5334/bcs.g, PDF)
 
 - G. Rehm, K. Marheinecke, S. Hegele, S. Piperidis, K. Bontcheva, J. Hajič, K. 
Choukri, A. Vasiļjevs, G. Backfried, K. Prinz, J. M. Gómez-Pérez, U. Germann 
(2022) *Sustaining the European Language Grid: Towards the ELG Legal Entity* 
European Language Grid: A Language Technology Platform for Multilingual Europe 
pp233 - 254, Springer International Publishing 
%(https://library.oapen.org/bitstream/handle/20.500.12657/59316/978-3-031-17258-8.pdf?sequence=1#page=254,
 PDF from oapen.org) 
 
@@ -306,13 +306,13 @@
 %2* 2021
 
 %3* Journal papers
-- M. van Erp, C. Reynolds, D. Maynard, A. Starke, R. Ibañez-Martín et al. 
*Using Natural Language Processing and Artificial Intelligence to explore the 
nutrition and sustainability of recipes and food.* Frontiers in Artificial 
Intelligence 2021. doi: 10.3389/frai.2020.621577 
%(https://www.frontiersin.org/articles/10.3389/frai.2020.621577/full, PDF)
+- M. van Erp, C. Reynolds, D. Maynard, A. Starke, R. Ibañez-Martín et al. 
(2021) *Using Natural Language Processing and Artificial Intelligence to 
explore the nutrition and sustainability of recipes and food.* Frontiers in 
Artificial Intelligence 2021. doi: 10.3389/frai.2020.621577 
%(https://www.frontiersin.org/articles/10.3389/frai.2020.621577/full, PDF)
 
-- X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard and K. Bontcheva. 
*"Classification aware neural topic model for COVID-19 disinformation 
categorisation."* PloS one 16, no. 2 (2021): e0247086. 
%(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086)
+- X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard and K. Bontcheva (2021) 
*"Classification aware neural topic model for COVID-19 disinformation 
categorisation."* PloS one 16, no. 2 (2021): e0247086. 
%(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086)
 
-- N. Chilman, X. Song, A. Roberts, E. Tolani, R. Stewart, Z. Chui, K. Birnie 
et al. *"Text mining occupations from the mental health electronic health 
record: a natural language processing approach using records from the Clinical 
Record Interactive Search (CRIS) platform in south London, UK."* BMJ open 11, 
no. 3 (2021): e042274.
+- N. Chilman, X. Song, A. Roberts, E. Tolani, R. Stewart, Z. Chui, K. Birnie 
et al. (2021) *"Text mining occupations from the mental health electronic 
health record: a natural language processing approach using records from the 
Clinical Record Interactive Search (CRIS) platform in south London, UK."* BMJ 
open 11, no. 3 (2021): e042274.
 
-- I. Singh, C. Scarton, and K. Bontcheva. *"Multistage BiCross encoder for 
multilingual access to COVID-19 health information."* Plos one 16, no. 9 
(2021): e0256874. 
%(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256874, 
PDF)
+- I. Singh, C. Scarton, and K. Bontcheva (2021) *"Multistage BiCross encoder 
for multilingual access to COVID-19 health information."* Plos one 16, no. 9 
(2021): e0256874. 
%(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0256874, 
PDF)
 
 - J. Posetti, K. Bontcheva (2021) *Infodemic: disinformation and media 
literacy in the context of COVID-19* Internet Sectoral Overview 3 (13), 1-21 
%(https://nic.br/media/docs/publicacoes/6/20210923161126/internet_sectoral_overview_year-13_n3_infodemic.pdf)
 
@@ -359,11 +359,11 @@
 
 %3* Other
 
-- J. Posetti, D. Maynard and K. Bontcheva. *Maria Ressa: Fighting an Onslaught 
of Online Violence.*  ICFJ, Washington, D.C., March 2021. 
%(https://www.icfj.org/sites/default/files/2021-03/Maria%20Ressa-%20Fighting%20an%20Onslaught%20of%20Online%20Violence_0.pdf,
 PDF)
+- J. Posetti, D. Maynard and K. Bontcheva (2021) *Maria Ressa: Fighting an 
Onslaught of Online Violence.*  ICFJ, Washington, D.C., March 2021. 
%(https://www.icfj.org/sites/default/files/2021-03/Maria%20Ressa-%20Fighting%20an%20Onslaught%20of%20Online%20Violence_0.pdf,
 PDF)
 
 - J. Posetti, N. Shabbir, D. Maynard, K. Bontcheva, N. Aboulez (2021). *The 
Chilling: Global trends in online violence against women journalists.* Research 
discussion paper. UNESCO, April 2021. 
%(https://www.icfj.org/our-work/chilling-global-study-online-violence-against-women-journalists,
 PDF)
 
- - Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug 
Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke, 
Diana Maynard, Christoph Trattner. *Comparing the environmental impacts of 
recipes from four different recipe databases using Natural Language 
Processing.* %(LEAP-Poster-2021.pdf, Poster) presented at Livestock, 
Environment and People (LEAP) conference, 6 December 2021, Oxford, UK.
+ - Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug 
Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke, 
Diana Maynard, Christoph Trattner (2021) *Comparing the environmental impacts 
of recipes from four different recipe databases using Natural Language 
Processing.* %(LEAP-Poster-2021.pdf, Poster) presented at Livestock, 
Environment and People (LEAP) conference, 6 December 2021, Oxford, UK.
 
 
 %2* 2020
@@ -370,15 +370,15 @@
 
 %3* Journal papers
 
-- D. Maynard, B. Lepori, J. Petrak, X. Song, P. Larédo. *Using ontologies to 
map between research data and policymakers’ presumptions: the experience of the 
KNOWMAK project.* Journal of Scientometrics 2020. DOI: 
10.1007/s11192-020-03664-6. 
%(https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst,
 Springer link)
+- D. Maynard, B. Lepori, J. Petrak, X. Song, P. Larédo (2020) *Using 
ontologies to map between research data and policymakers’ presumptions: the 
experience of the KNOWMAK project.* Journal of Scientometrics 2020. DOI: 
10.1007/s11192-020-03664-6. 
%(https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst,
 Springer link)
 
-- J. Harrison, D. Maynard and S. Torsner. *Strengthening the Monitoring of SDG 
16.10.1 and the Manifestations of Violations against Journalists through an 
Events-based Methodology.* Journal of Media and Communication, vol. 8, no. 1: 
Rethinking the Safety of Journalists, 2020. 
%(https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543, 
online version)
+- J. Harrison, D. Maynard and S. Torsner (2020) *Strengthening the Monitoring 
of SDG 16.10.1 and the Manifestations of Violations against Journalists through 
an Events-based Methodology.* Journal of Media and Communication, vol. 8, no. 
1: Rethinking the Safety of Journalists, 2020. 
%(https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543, 
online version)
 
 - G. Gorrell, M. E. Bakir, I. Roberts, M. A. Greenwood, and K. Bontcheva 
(2020). *Which politicians receive abuse? Four factors illuminated in the UK 
general election 2019.* EPJ Data Science, 9(1), 18. 
%(https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00236-9,
 online version)
 
-- Y. Mu, and N. Aletras. *"Identifying Twitter users who repost unreliable 
news sources with linguistic information."* PeerJ Computer Science 6 (2020): 
e325.
+- Y. Mu, and N. Aletras (2020) *"Identifying Twitter users who repost 
unreliable news sources with linguistic information."* PeerJ Computer Science 6 
(2020): e325.
 
-- T. Farrell, G. Gorrell and K. Bontcheva. *Vindication, virtue, and vitriol.* 
Journal of Computational Social Science, vol 3, no 2. 2020. 
%(https://link.springer.com/article/10.1007/s42001-020-00090-9, online version).
+- T. Farrell, G. Gorrell and K. Bontcheva (2020) *Vindication, virtue, and 
vitriol.* Journal of Computational Social Science, vol 3, no 2. 2020. 
%(https://link.springer.com/article/10.1007/s42001-020-00090-9, online version).
 
 - X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard, K. Bontcheva (2020) 
*Classification aware neural topic model and its application on a new COVID-19 
disinformation corpus* PLoS ONE 16(2): e0247086 
%(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086)
 
@@ -391,13 +391,13 @@
 
 %3* Conference papers
 
-- D. Maynard and A. Funk. *Combining expert knowledge with NLP for specialised 
applications.* Proc. of 23rd International Conference on Text, Speech and 
Dialogue (TSD), Brno, Czech Republic, Sep 8-11, 2020. 
%(https://link.springer.com/chapter/10.1007/978-3-030-58323-1_1, Springer link)
+- D. Maynard and A. Funk (2020) *Combining expert knowledge with NLP for 
specialised applications.* Proc. of 23rd International Conference on Text, 
Speech and Dialogue (TSD), Brno, Czech Republic, Sep 8-11, 2020. 
%(https://link.springer.com/chapter/10.1007/978-3-030-58323-1_1, Springer link)
 
-- X. Song, J. Downs, S. Velupillai, R. Holden, M. Kikoler, K. Bontcheva, R. 
Dutta, A. Roberts. (2020) *Using Deep Neural Networks with Intra- and 
Inter-Sentence Context to Classify Suicidal Behaviour.* In the 12th 
International Conference on Language Resources and Evaluation, 2020 
%(https://aclanthology.org/2020.lrec-1.163/)
+- X. Song, J. Downs, S. Velupillai, R. Holden, M. Kikoler, K. Bontcheva, R. 
Dutta, A. Roberts (2020) *Using Deep Neural Networks with Intra- and 
Inter-Sentence Context to Classify Suicidal Behaviour.* In the 12th 
International Conference on Language Resources and Evaluation, 2020 
%(https://aclanthology.org/2020.lrec-1.163/)
 
-- Jie Gao, Sooji Han, Xingyi Song and Fabio Ciravegna. *RP-DNN: A Tweet level 
propagation context based deep neural networks for early rumor detection in 
Social Media.* In the 12th International Conference on Language Resources and 
Evaluation, 2020
+- Jie Gao, Sooji Han, Xingyi Song and Fabio Ciravegna (2020) *RP-DNN: A Tweet 
level propagation context based deep neural networks for early rumor detection 
in Social Media.* In the 12th International Conference on Language Resources 
and Evaluation, 2020
 
-- Natasha Chilman, Xingyi Song, Angus Roberts, Robert Stewart, Anna Kolliakou 
and Jayati Das-Munshi. *Text-Mining Occupations from the Electronic Health 
Record: The Development and Evaluation of a Natural Language Processing 
Application to Extract Occupations from the Clinical Record Interactive 
Search(CRIS) Case Register.* In: UK healthcare text analytics conference, 2020
+- Natasha Chilman, Xingyi Song, Angus Roberts, Robert Stewart, Anna Kolliakou 
and Jayati Das-Munshi (2020) *Text-Mining Occupations from the Electronic 
Health Record: The Development and Evaluation of a Natural Language Processing 
Application to Extract Occupations from the Clinical Record Interactive 
Search(CRIS) Case Register.* In: UK healthcare text analytics conference, 2020
 
 - Ye Jiang, Yimin Wang, Xingyi Song and Diana Maynard. *Comparing Topic-Aware 
Neural Networks for Bias Detection of News.* Proc. of ECAI 2020, Aug 29 - 2 Sep 
2020, Santiago de Compostela, Spain.
 

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