Revision: 20444
http://sourceforge.net/p/gate/code/20444
Author: gate-project
Date: 2025-06-24 09:41:06 +0000 (Tue, 24 Jun 2025)
Log Message:
-----------
[jowright1] Uploading Carol's papers from 2023 and 2022
Modified Paths:
--------------
gate/trunk/doc/papers.html
gate/trunk/doc/papers.yam
Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html 2025-06-23 12:54:55 UTC (rev 20443)
+++ gate/trunk/doc/papers.html 2025-06-24 09:41:06 UTC (rev 20444)
@@ -304,6 +304,11 @@
<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>
</ul>
+
+<ul>
+<li>T. Goldsack, Z. Zhang, C. Lin, C. Scarton (2023) <b>Domain-Driven and
Discourse-Guided Scientific Summarisation</b> European Conference on
Information Retrieval, 361-376 <a class="cow-url"
href="https://link.springer.com/chapter/10.1007/978-3-031-28244-7_23";>https://link.springer.com/chapter/10.1007/978-3-031-28244-7_23</a></li>
+</ul>
+
<h3 class="cow-heading">Conference papers</h3>
<ul>
@@ -346,6 +351,10 @@
<li>T. Goldsack, Z. Luo, Q. Xie, C. Scarton, M. Shardlow, S. Ananiadou, C. Lin
(2023) <b>BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research
Articles</b> In The 22nd Workshop on Biomedical Natural Language Processing and
BioNLP Shared Tasks, pages 468–477, Toronto, Canada. Association for
Computational Linguistics. <a class="cow-url"
href="https://aclanthology.org/2023.bionlp-1.44/";>https://aclanthology.org/2023.bionlp-1.44/</a></li>
</ul>
+<ul>
+<li>M. Nurminen, J. Brenner, M. Koponen, S. Latomaa, M. Mikhailov, F. Schierl,
T. Ranasinghe, E. Vanmassenhove, S. Alvarez-Vidal, N. Aranberri, M. Nunziatini,
C. Parra Escartín, M. L. Forcada, M. Popović, C. Scarton, H. Moniz
(2023) <b>Proceedings of the 24th Annual Conference of the European Association
for Machine Translation</b> In Proceedings of the 24th Annual Conference of the
European Association for Machine Translation <a class="cow-url"
href="https://aclanthology.org/2023.eamt-1.0.pdf";>https://aclanthology.org/2023.eamt-1.0.pdf</a></li>
+</ul>
+
<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>
@@ -389,8 +398,22 @@
<li>J.A. Leite, C. Scarton and D. F. Silva (2023) <b>Noisy Self-Training with
Data Augmentations for Offensive and Hate Speech Detection Tasks</b> <a
class="cow-url"
href="https://arxiv.org/abs/2307.16609";>https://arxiv.org/abs/2307.16609</a></li>
</ul>
+<ul>
+<li>S. Vincent, R. Flynn, C. Scarton (2023) <b>MTCue: Learning Zero-Shot
Control of Extra-Textual Attributes by Leveraging Unstructured Context in
Neural Machine Translation</b> <a class="cow-url"
href="https://arxiv.org/abs/2305.15904";>https://arxiv.org/abs/2305.15904</a></li>
+</ul>
+<ul>
+<li>S. Vincent, R. Sumner, A. Dowek, C. Blundell, E. Preston, C. Bayliss, C.
Oakley, C. Scarton (2023) <b>Personalised Language Modelling of Screen
Characters Using Rich Metadata Annotations</b> <a class="cow-url"
href="https://openreview.net/forum?id=dFqiCR7df4";>https://openreview.net/forum?id=dFqiCR7df4</a></li>
+</ul>
+<ul>
+<li>B. Wu, O. Razuvayevskaya, F. Heppell, J. A. Leite, C. Scarton, K.
Bontcheva and X. Song (2023) <b>Team SheffieldVeraAI at SemEval-2023 Task 3:
Mono and multilingual approaches for news genre, topic and persuasion technique
classification</b> <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. Li, C. Scarton (2023) <b>Evaluating the Role of Target Arguments in
Rumour Stance Classification</b> <a class="cow-url"
href="https://openreview.net/forum?id=wLy9umlDFq";>https://openreview.net/forum?id=wLy9umlDFq</a></li>
+</ul>
+
<h3 class="cow-heading">Book chapter</h3>
<ul>
@@ -432,6 +455,10 @@
<ul>
<li>Y. Li, C. Scarton, X. Song, K. Bontcheva (2022) <b>Classifying COVID-19
vaccine narratives</b> <a class="cow-url"
href="https://arxiv.org/pdf/2207.08522";>https://arxiv.org/pdf/2207.08522</a></li>
</ul>
+
+<ul>
+<li>T. Goldsack, Z. Zhang, C. Lin, C. Scarton (2022) <b>Making Science Simple:
Corpora for the Lay Summarisation of Scientific Literature</b> <a
class="cow-url"
href="https://arxiv.org/abs/2210.09932";>https://arxiv.org/abs/2210.09932</a></li>
+</ul>
<h3 class="cow-heading">Other</h3>
<ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2025-06-23 12:54:55 UTC (rev 20443)
+++ gate/trunk/doc/papers.yam 2025-06-24 09:41:06 UTC (rev 20444)
@@ -167,6 +167,9 @@
- 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)
+- 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)
+
+
%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/)
@@ -189,7 +192,9 @@
- T. Goldsack, Z. Luo, Q. Xie, C. Scarton, M. Shardlow, S. Ananiadou, C. Lin
(2023) *BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research
Articles* In The 22nd Workshop on Biomedical Natural Language Processing and
BioNLP Shared Tasks, pages 468–477, Toronto, Canada. Association for
Computational Linguistics. %(https://aclanthology.org/2023.bionlp-1.44/)
+- M. Nurminen, J. Brenner, M. Koponen, S. Latomaa, M. Mikhailov, F. Schierl,
T. Ranasinghe, E. Vanmassenhove, S. Alvarez-Vidal, N. Aranberri, M. Nunziatini,
C. Parra Escartín, M. L. Forcada, M. Popović, C. Scarton, H. Moniz (2023)
*Proceedings of the 24th Annual Conference of the European Association for
Machine Translation* In Proceedings of the 24th Annual Conference of the
European Association for Machine Translation
%(https://aclanthology.org/2023.eamt-1.0.pdf)
+
%3* Pre-print
- M. Jin, Y. Mu, D. Maynard, K. Bontcheva. *Examining Temporal Bias in Abusive
Language Detection* %(https://arxiv.org/abs/2309.14146)
@@ -214,9 +219,15 @@
- J.A. Leite, C. Scarton and D. F. Silva (2023) *Noisy Self-Training with Data
Augmentations for Offensive and Hate Speech Detection Tasks*
%(https://arxiv.org/abs/2307.16609)
+- S. Vincent, R. Flynn, C. Scarton (2023) *MTCue: Learning Zero-Shot Control
of Extra-Textual Attributes by Leveraging Unstructured Context in Neural
Machine Translation* %(https://arxiv.org/abs/2305.15904)
+- S. Vincent, R. Sumner, A. Dowek, C. Blundell, E. Preston, C. Bayliss, C.
Oakley, C. Scarton (2023) *Personalised Language Modelling of Screen Characters
Using Rich Metadata Annotations* %(https://openreview.net/forum?id=dFqiCR7df4)
+- B. Wu, O. Razuvayevskaya, F. Heppell, J. A. Leite, C. Scarton, K. Bontcheva
and X. Song (2023) *Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and
multilingual approaches for news genre, topic and persuasion technique
classification* %(https://aclanthology.org/2023.semeval-1.275/)
+- Y. Li, C. Scarton (2023) *Evaluating the Role of Target Arguments in Rumour
Stance Classification* %(https://openreview.net/forum?id=wLy9umlDFq)
+
+
%3* Book chapter
- D. Maynard, J. Wright, M. A. Greenwood, K. Bontcheva (2023) *Language Report
English* In European Language Equality: A Strategic Agenda for Digital Language
Equality, Springer International Publishing pp127-130
%(https://link.springer.com/content/pdf/10.1007/978-3-031-28819-7_13.pdf)
@@ -245,6 +256,8 @@
- Y. Li, C. Scarton, X. Song, K. Bontcheva (2022) *Classifying COVID-19
vaccine narratives* %(https://arxiv.org/pdf/2207.08522)
+- T. Goldsack, Z. Zhang, C. Lin, C. Scarton (2022) *Making Science Simple:
Corpora for the Lay Summarisation of Scientific Literature*
%(https://arxiv.org/abs/2210.09932)
+
%3* Other
- M. Alam, G. Fletcher, A. Isaac, A. Hogan, D. Maynard, H. Paulheim, H. Sack,
E. Simperl, L. Stork, M. van Erp and H. Takeda (2022) *5.6 Bias in Knowledge
Graph Systems*
%(https://drops.dagstuhl.de/storage/04dagstuhl-reports/volume12/issue09/22372/DagRep.12.9.60/DagRep.12.9.60.pdf#page=47)
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
_______________________________________________
GATE-cvs mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/gate-cvs
