[gate-cvs] SF.net SVN: gate:[20461] gate/trunk/doc

[<gat...@us...>]

Revision: 20461
          http://sourceforge.net/p/gate/code/20461
Author:   gate-project
Date:     2025-06-30 12:56:48 +0000 (Mon, 30 Jun 2025)
Log Message:
-----------
[jowright1] amending arxiv link to journal links

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

Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html	2025-06-30 12:43:52 UTC (rev 20460)
+++ gate/trunk/doc/papers.html	2025-06-30 12:56:48 UTC (rev 20461)
@@ -257,57 +257,58 @@
 <li>W. He, M. Idiart, C. Scarton, A. Villavicencio (2024) <b>Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss</b> <a class="cow-url" href="https://aclanthology.org/2024.findings-acl.741.pdf">https://aclanthology.org/2024.findings-acl.741.pdf</a></li>
 </ul>
 
-
-<h3 class="cow-heading">Pre-print</h3>
-
 <ul>
-<li>F. Heppell, M. E. Bakir, K. Bontcheva (2024) <b>Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale</b> <a class="cow-url" href="https://arxiv.org/abs/2402.08467">https://arxiv.org/abs/2402.08467</a></li>
+<li>Z. Zhang, T. Goldsack, C. Scarton and C. Lin (2024) <b>ATLAS: Improving Lay Summarisation with Attribute-based Control</b> In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) <a class="cow-url" href="https://aclanthology.org/2024.acl-short.32/">https://aclanthology.org/2024.acl-short.32/</a></li>
 </ul>
 
 <ul>
-<li>Y. Mu, P. Bai, K. Bontcheva, X. Song. (2024) <b>Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling</b> <a class="cow-url" href="https://arxiv.org/pdf/2405.00611">https://arxiv.org/pdf/2405.00611</a></li>
+<li>J. Vasilakes, Z. Zhao, I. Vykopal, M. Gregor, M. Hyben and C. Scarton (2024) <b>ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread</b> In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2) 39-40 <a class="cow-url" href="https://aclanthology.org/2024.eamt-2.20/">https://aclanthology.org/2024.eamt-2.20/</a></li>
 </ul>
 
 <ul>
-<li>M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2024) <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>E. Gow-Smith, D. Phelps, H. T. Madabushi, C. Scarton, A. Villavicencio (2024) <b>Word Boundary Information Isn't Useful for Encoder Language Models</b> In Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024) pp118&ndash;135 <a class="cow-url" href="https://aclanthology.org/2024.repl4nlp-1.10/">https://aclanthology.org/2024.repl4nlp-1.10/</a></li>
 </ul>
 
 <ul>
-<li>I. Srba, O. Razuvayevskaya, J. A. Leite, R. Moro, I. B. Schlicht, S. Tonelli, F. M. Garc&iacute;a, S. B. Lottmann, D. Teyssou, V. Porcellini, C. Scarton, K. Bontcheva, M. Bielikova (2024) <b>A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models</b> <a class="cow-url" href="https://arxiv.org/abs/2410.21360">https://arxiv.org/abs/2410.21360</a></li>
+<li>O. Cook, C. Grimshaw, B. Wu, S. Dillon, J. Hicks, L. Jones, T. Smith, M. Szert and X. Song (2024) <b>Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media</b> <a class="cow-url" href="https://aclanthology.org/2025.findings-naacl.185.pdf">https://aclanthology.org/2025.findings-naacl.185.pdf</a></li>
 </ul>
 
 <ul>
-<li>M. Pandya, N. S. Moosavi, D. Maynard (2024) <b>Exploring the Influence of Label Aggregation on Minority Voices: Implications for Dataset Bias and Model Training</b> <a class="cow-url" href="https://arxiv.org/abs/2412.04025">https://arxiv.org/abs/2412.04025</a></li>
+<li>Y. Mu, M. Jin, X. Song, N. Aletras (2024) <b>Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research</b> In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing pp 12477&ndash;12492 <a class="cow-url" href="https://aclanthology.org/2024.emnlp-main.694/">https://aclanthology.org/2024.emnlp-main.694/</a></li>
 </ul>
 
 <ul>
-<li>Y. Li, Z. Zhao and C. Scarton (2024) <b>Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models</b> <a class="cow-url" href="https://arxiv.org/abs/2410.19195">https://arxiv.org/abs/2410.19195</a></li>
+<li>A. Hughes, X. Song (2024) <b>Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence</b> In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) pp 8580&ndash;8593 <a class="cow-url" href="https://aclanthology.org/2024.lrec-main.753/">https://aclanthology.org/2024.lrec-main.753/</a></li>
 </ul>
 
+
+<h3 class="cow-heading">Pre-print</h3>
+
 <ul>
-<li>Z. Zhang, T. Goldsack, C. Scarton and C. Lin (2024) <b>ATLAS: Improving Lay Summarisation with Attribute-based Control</b> In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) <a class="cow-url" href="https://aclanthology.org/2024.acl-short.32/">https://aclanthology.org/2024.acl-short.32/</a></li>
+<li>F. Heppell, M. E. Bakir, K. Bontcheva (2024) <b>Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale</b> <a class="cow-url" href="https://arxiv.org/abs/2402.08467">https://arxiv.org/abs/2402.08467</a></li>
 </ul>
 
 <ul>
-<li>J. Vasilakes, Z. Zhao, I. Vykopal, M. Gregor, M. Hyben and C. Scarton (2024) <b>ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread</b> <a class="cow-url" href="https://arxiv.org/abs/2406.15443">https://arxiv.org/abs/2406.15443</a></li>
+<li>Y. Mu, P. Bai, K. Bontcheva, X. Song. (2024) <b>Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling</b> <a class="cow-url" href="https://arxiv.org/pdf/2405.00611">https://arxiv.org/pdf/2405.00611</a></li>
 </ul>
 
 <ul>
-<li>E. Gow-Smith, D. Phelps, H. T. Madabushi, C. Scarton, A. Villavicencio (2024) <b>Word Boundary Information Isn't Useful for Encoder Language Models</b> <a class="cow-url" href="https://arxiv.org/abs/2401.07923">https://arxiv.org/abs/2401.07923</a></li>
+<li>M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2024) <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>
-<li>O. Cook, C. Grimshaw, B. Wu, S. Dillon, J. Hicks, L. Jones, T. Smith, M. Szert and X. Song (2024) <b>Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media</b> <a class="cow-url" href="https://arxiv.org/abs/2410.14515">https://arxiv.org/abs/2410.14515</a></li>
+<li>I. Srba, O. Razuvayevskaya, J. A. Leite, R. Moro, I. B. Schlicht, S. Tonelli, F. M. Garc&iacute;a, S. B. Lottmann, D. Teyssou, V. Porcellini, C. Scarton, K. Bontcheva, M. Bielikova (2024) <b>A Survey on Automatic Credibility Assessment of Textual Credibility Signals in the Era of Large Language Models</b> <a class="cow-url" href="https://arxiv.org/abs/2410.21360">https://arxiv.org/abs/2410.21360</a></li>
 </ul>
 
 <ul>
-<li>Y. Mu, M. Jin, X. Song, N. Aletras (2024) <b>Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research</b> <a class="cow-url" href="https://arxiv.org/abs/2410.03545">https://arxiv.org/abs/2410.03545</a></li>
+<li>M. Pandya, N. S. Moosavi, D. Maynard (2024) <b>Exploring the Influence of Label Aggregation on Minority Voices: Implications for Dataset Bias and Model Training</b> <a class="cow-url" href="https://arxiv.org/abs/2412.04025">https://arxiv.org/abs/2412.04025</a></li>
 </ul>
 
 <ul>
-<li>A. Hughes, X. Song (2024) <b>Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence</b> LREC-COLING 2024 <a class="cow-url" href="https://arxiv.org/abs/2405.11219">https://arxiv.org/abs/2405.11219</a></li>
+<li>Y. Li, Z. Zhao and C. Scarton (2024) <b>Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models</b> <a class="cow-url" href="https://arxiv.org/abs/2410.19195">https://arxiv.org/abs/2410.19195</a></li>
 </ul>
 
+
 <h3 class="cow-heading">Other</h3>
 <ul>
 <li>J. Reid, J. Posetti, D. Maynard, N. Shabbir, D.K. Hapal (2024). <b>The women journalists of South Africa&rsquo;s Daily Maverick: SEXUALIZED, SILENCED AND LABELED SATAN.</b>  International Center for Journalists. <a class="cow-url" href="https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf">https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf</a></li>

Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam	2025-06-30 12:43:52 UTC (rev 20460)
+++ gate/trunk/doc/papers.yam	2025-06-30 12:56:48 UTC (rev 20461)
@@ -135,8 +135,20 @@
 
 - W. He, M. Idiart, C. Scarton, A. Villavicencio (2024) *Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss* %(https://aclanthology.org/2024.findings-acl.741.pdf)
 
+- Z. Zhang, T. Goldsack, C. Scarton and C. Lin (2024) *ATLAS: Improving Lay Summarisation with Attribute-based Control* In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) %(https://aclanthology.org/2024.acl-short.32/)
 
+- J. Vasilakes, Z. Zhao, I. Vykopal, M. Gregor, M. Hyben and C. Scarton (2024) *ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread* In Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2) 39-40 %(https://aclanthology.org/2024.eamt-2.20/)
 
+- E. Gow-Smith, D. Phelps, H. T. Madabushi, C. Scarton, A. Villavicencio (2024) *Word Boundary Information Isn't Useful for Encoder Language Models* In Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024) pp118–135 %(https://aclanthology.org/2024.repl4nlp-1.10/)
+
+- O. Cook, C. Grimshaw, B. Wu, S. Dillon, J. Hicks, L. Jones, T. Smith, M. Szert and X. Song (2024) *Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media* %(https://aclanthology.org/2025.findings-naacl.185.pdf)
+
+- Y. Mu, M. Jin, X. Song, N. Aletras (2024) *Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research* In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing pp 12477–12492 %(https://aclanthology.org/2024.emnlp-main.694/)
+
+- A. Hughes, X. Song (2024) *Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence* In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) pp 8580–8593 %(https://aclanthology.org/2024.lrec-main.753/)
+
+
+
 %3* Pre-print
 
 - F. Heppell, M. E. Bakir, K. Bontcheva (2024) *Lying Blindly: Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale* %(https://arxiv.org/abs/2402.08467)
@@ -151,19 +163,8 @@
 
 - Y. Li, Z. Zhao and C. Scarton (2024) *Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models* %(https://arxiv.org/abs/2410.19195)
 
-- Z. Zhang, T. Goldsack, C. Scarton and C. Lin (2024) *ATLAS: Improving Lay Summarisation with Attribute-based Control* In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) %(https://aclanthology.org/2024.acl-short.32/)
 
-- J. Vasilakes, Z. Zhao, I. Vykopal, M. Gregor, M. Hyben and C. Scarton (2024) *ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread* %(https://arxiv.org/abs/2406.15443)
 
-- E. Gow-Smith, D. Phelps, H. T. Madabushi, C. Scarton, A. Villavicencio (2024) *Word Boundary Information Isn't Useful for Encoder Language Models* %(https://arxiv.org/abs/2401.07923)
-
-- O. Cook, C. Grimshaw, B. Wu, S. Dillon, J. Hicks, L. Jones, T. Smith, M. Szert and X. Song (2024) *Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media* %(https://arxiv.org/abs/2410.14515)
-
-- Y. Mu, M. Jin, X. Song, N. Aletras (2024) *Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research* %(https://arxiv.org/abs/2410.03545)
-
-- A. Hughes, X. Song (2024) *Identifying and Aligning Medical Claims Made on Social Media with Medical Evidence* LREC-COLING 2024 %(https://arxiv.org/abs/2405.11219)
-
-
 %3* Other
 - J. Reid, J. Posetti, D. Maynard, N. Shabbir, D.K. Hapal (2024). *The women journalists of South Africa’s Daily Maverick: SEXUALIZED, SILENCED AND LABELED SATAN.*  International Center for Journalists. https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf
 

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