Revision: 20430
http://sourceforge.net/p/gate/code/20430
Author: gate-project
Date: 2025-06-19 11:32:02 +0000 (Thu, 19 Jun 2025)
Log Message:
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[jowright1] adding titles and other amendments
Modified Paths:
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gate/trunk/doc/papers.html
gate/trunk/doc/papers.yam
Modified: gate/trunk/doc/papers.html
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--- gate/trunk/doc/papers.html 2025-06-19 11:00:12 UTC (rev 20429)
+++ gate/trunk/doc/papers.html 2025-06-19 11:32:02 UTC (rev 20430)
@@ -247,29 +247,33 @@
</ul>
<ul>
-<li>Matt Canute, Mali Jin, Hannah Holtzclaw, Alberto Lusoli, Philippa Adams,
Mugdha Pandya, Maite Taboada, Diana Maynard, and Wendy Hui Kyong Chun. 2023.
<b>Dimensions of Online Conflict: Towards Modeling Agonism.</b> In Findings of
the Association for Computational Linguistics: EMNLP 2023, pages
12194–12209, Singapore. Association for Computational Linguistics. <a
class="cow-url"
href="https://aclanthology.org/2023.findings-emnlp.816/">https://aclanthology.org/2023.findings-emnlp.816/</a></li>
+<li>M. Canute, M. Jin, H. Holtzclaw, A. Lusoli, P. Adams, M. Pandya, M.
Taboada, D. Maynard, and W. H. K. Chun (2023) <b>Dimensions of Online Conflict:
Towards Modeling Agonism.</b> In Findings of the Association for Computational
Linguistics: EMNLP 2023, pages 12194–12209, Singapore. Association for
Computational Linguistics. <a class="cow-url"
href="https://aclanthology.org/2023.findings-emnlp.816/">https://aclanthology.org/2023.findings-emnlp.816/</a></li>
</ul>
<ul>
-<li>Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, and Xingyi
Song. 2023. <b>Don’t waste a single annotation: improving single-label
classifiers through soft labels.</b> In Findings of the Association for
Computational Linguistics: EMNLP 2023, pages 5347–5355, Singapore.
Association for Computational Linguistics. <a class="cow-url"
href="https://aclanthology.org/2023.findings-emnlp.355/">https://aclanthology.org/2023.findings-emnlp.355/</a></li>
+<li>B. Wu, Y. Li, Y. Mu, C. Scarton, K. Bontcheva and X. Song (2023)
<b>Don’t waste a single annotation: improving single-label classifiers
through soft labels.</b> In Findings of the Association for Computational
Linguistics: EMNLP 2023, pages 5347–5355, Singapore. Association for
Computational Linguistics. <a class="cow-url"
href="https://aclanthology.org/2023.findings-emnlp.355/">https://aclanthology.org/2023.findings-emnlp.355/</a></li>
</ul>
<ul>
-<li>Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João A. Leite,
Carolina Scarton, Kalina Bontcheva, Xingyi 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
1995–2008, 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. <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 1995–2008, 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>Yida Mu, Kalina Bontcheva, and Nikolaos Aletras. <b>"It's about Time:
Rethinking Evaluation on Rumor Detection Benchmarks using Chronological
Splits."</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. <b>"It's about Time: Rethinking
Evaluation on Rumor Detection Benchmarks using Chronological Splits."</b>
EACL Findings (2023). <a class="cow-url"
href="https://arxiv.org/abs/2302.03147">https://arxiv.org/abs/2302.03147</a></li>
</ul>
<ul>
-<li>Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva,
and Xingyi Song. <b>"VaxxHesitancy: A Dataset for Studying Hesitancy
Towards COVID-19 Vaccination on Twitter."</b> 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.
<b>"VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19
Vaccination on Twitter."</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>Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina
Bontcheva, Xingyi 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.
<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>
+<li>D. Wilby, T. Karmakharm, I. Roberts, X. Song, K. Bontcheva (2023) <b>GATE
Teamware 2: An open-source tool for collaborative document classification
annotation</b> In Proceedings of the 17th Conference of the European Chapter of
the Association for Computational Linguistics: System Demonstrations <a
class="cow-url"
href="https://aclanthology.org/2023.eacl-demo.17.pdf">https://aclanthology.org/2023.eacl-demo.17.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>
@@ -296,6 +300,10 @@
</ul>
<p>-I. Singh, C. Scarton, X. Song, K. Bontcheva (2023) <b>Finding already
debunked narratives via multistage retrieval: enabling cross-lingual,
cross-dataset and zero-shot learning.</b> <a class="cow-url"
href="https://eprints.whiterose.ac.uk/id/eprint/223245/">https://eprints.whiterose.ac.uk/id/eprint/223245/</a></p>
+
+<ul>
+<li>Y. Mu, M. Jin, K. Bontcheva, X. Song (2023) <b>Examining temporalities on
stance detection towards COVID-19 vaccination</b> <a class="cow-url"
href="https://arxiv.org/pdf/2304.04806">https://arxiv.org/pdf/2304.04806</a></li>
+</ul>
<h3 class="cow-heading">Book chapter</h3>
<ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2025-06-19 11:00:12 UTC (rev 20429)
+++ gate/trunk/doc/papers.yam 2025-06-19 11:32:02 UTC (rev 20430)
@@ -137,19 +137,21 @@
- 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/)
-- Matt Canute, Mali Jin, Hannah Holtzclaw, Alberto Lusoli, Philippa Adams,
Mugdha Pandya, Maite Taboada, Diana Maynard, and Wendy Hui Kyong 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/)
+- 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/)
-- Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, and Xingyi
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, 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/)
-- Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João A. Leite, Carolina
Scarton, Kalina Bontcheva, Xingyi 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. *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/)
-- Yida Mu, Kalina Bontcheva, and Nikolaos 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. *"It's about Time: Rethinking Evaluation
on Rumor Detection Benchmarks using Chronological Splits."* EACL Findings
(2023). %(https://arxiv.org/abs/2302.03147)
-- Yida Mu, Mali Jin, Charlie Grimshaw, Carolina Scarton, Kalina Bontcheva, and
Xingyi Song. *"VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19
Vaccination on Twitter."* ICWSM (2023). %(https://arxiv.org/abs/2301.06660)
+- 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)
-- Yida Mu, Ye Jiang, Freddy Heppell, Iknoor Singh, Carolina Scarton, Kalina
Bontcheva, Xingyi 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. *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)
+
%3* Pre-print
- M. Jin, Y. Mu, D. Maynard, K. Bontcheva. *Examining Temporal Bias in Abusive
Language Detection* %(https://arxiv.org/abs/2309.14146)
@@ -166,6 +168,8 @@
-I. Singh, C. Scarton, X. Song, K. Bontcheva (2023) *Finding already debunked
narratives via multistage retrieval: enabling cross-lingual, cross-dataset and
zero-shot learning.* %(https://eprints.whiterose.ac.uk/id/eprint/223245/)
+- Y. Mu, M. Jin, K. Bontcheva, X. Song (2023) *Examining temporalities on
stance detection towards COVID-19 vaccination*
%(https://arxiv.org/pdf/2304.04806)
+
%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)
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