Revision: 20463
http://sourceforge.net/p/gate/code/20463
Author: gate-project
Date: 2025-06-30 13:14:56 +0000 (Mon, 30 Jun 2025)
Log Message:
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[jowright1] amending arxiv link to journal link
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 2025-06-30 13:05:20 UTC (rev 20462)
+++ gate/trunk/doc/papers.html 2025-06-30 13:14:56 UTC (rev 20463)
@@ -347,11 +347,11 @@
</ul>
<ul>
-<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>
+<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>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>
+<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>
@@ -359,15 +359,15 @@
</ul>
<ul>
-<li>Y. Mu, K. Bontcheva and N. Aletras (2023) <b>"It's about Time:
Rethinking Evaluation on Rumor Detection Benchmarks using Chronological
Splits."</b> EACL Findings <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>"It's about Time:
Rethinking Evaluation on Rumor Detection Benchmarks using Chronological
Splits"</b> In Findings of the Association for Computational Linguistics:
EACL 2023 <a class="cow-url"
href="https://aclanthology.org/2023.findings-eacl.55/";>https://aclanthology.org/2023.findings-eacl.55/</a></li>
</ul>
<ul>
-<li>Y. Mu, M. Jin, C. Grimshaw, C. Scarton, K. Bontcheva and X. Song (2023)
<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>
+<li>Y. Mu, M. Jin, C. Grimshaw, C. Scarton, K. Bontcheva and X. Song (2023)
<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) In Proceedings of the
Seventeenth International AAAI Conference on Web and Social Media
(ICWSM2023)1052 <a class="cow-url"
href="https://ojs.aaai.org/index.php/ICWSM/article/view/22213/21992";>https://ojs.aaai.org/index.php/ICWSM/article/view/22213/21992</a></li>
</ul>
<ul>
-<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>
+<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://workshop-proceedings.icwsm.org/pdf/2023_45.pdf";>https://workshop-proceedings.icwsm.org/pdf/2023_45.pdf</a></li>
</ul>
<ul>
@@ -387,7 +387,7 @@
</ul>
<ul>
-<li>T. Liang, Y. Mu, S. Kim, D. L. K. Kuate, J. Lang, R. Vos, X. Song (2023)
<b>Classification-Aware Neural Topic Model Combined With Interpretable
Analysis-For Conflict Classification</b> In Proceedings of the 14th
International Conference on Recent Advances in Natural Language Processing (pp.
666-672) <a class="cow-url"
href="https://arxiv.org/abs/2308.15232";>https://arxiv.org/abs/2308.15232</a></li>
+<li>T. Liang, Y. Mu, S. Kim, D. L. K. Kuate, J. Lang, R. Vos, X. Song (2023)
<b>Classification-Aware Neural Topic Model Combined With Interpretable
Analysis-For Conflict Classification</b> In Proceedings of the 14th
International Conference on Recent Advances in Natural Language Processing (pp.
666-672) In Proceedings of the 14th International Conference on Recent Advances
in Natural Language Processing <a class="cow-url"
href="https://aclanthology.org/2023.ranlp-1.72/";>https://aclanthology.org/2023.ranlp-1.72/</a></li>
</ul>
<h3 class="cow-heading">Pre-print</h3>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2025-06-30 13:05:20 UTC (rev 20462)
+++ gate/trunk/doc/papers.yam 2025-06-30 13:14:56 UTC (rev 20463)
@@ -189,17 +189,17 @@
- 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/)
+- 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, 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 (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 (2023) *"It's about Time: Rethinking
Evaluation on Rumor Detection Benchmarks using Chronological Splits."* EACL
Findings %(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"* In
Findings of the Association for Computational Linguistics: EACL 2023
%(https://aclanthology.org/2023.findings-eacl.55/)
-- 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, 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) In Proceedings of the Seventeenth International AAAI
Conference on Web and Social Media (ICWSM2023)1052
%(https://ojs.aaai.org/index.php/ICWSM/article/view/22213/21992)
-- 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)
+- 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://workshop-proceedings.icwsm.org/pdf/2023_45.pdf)
- 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)
@@ -209,7 +209,7 @@
- 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)
-- T. Liang, Y. Mu, S. Kim, D. L. K. Kuate, J. Lang, R. Vos, X. Song (2023)
*Classification-Aware Neural Topic Model Combined With Interpretable
Analysis-For Conflict Classification* In Proceedings of the 14th International
Conference on Recent Advances in Natural Language Processing (pp. 666-672)
%(https://arxiv.org/abs/2308.15232)
+- T. Liang, Y. Mu, S. Kim, D. L. K. Kuate, J. Lang, R. Vos, X. Song (2023)
*Classification-Aware Neural Topic Model Combined With Interpretable
Analysis-For Conflict Classification* In Proceedings of the 14th International
Conference on Recent Advances in Natural Language Processing (pp. 666-672) In
Proceedings of the 14th International Conference on Recent Advances in Natural
Language Processing %(https://aclanthology.org/2023.ranlp-1.72/)
%3* Pre-print
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