From: <gat...@us...> - 2024-07-05 09:41:51
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Revision: 20404 http://sourceforge.net/p/gate/code/20404 Author: gate-project Date: 2024-07-05 09:41:48 +0000 (Fri, 05 Jul 2024) Log Message: ----------- [freddyheppell] Add papers I'm an author on Modified Paths: -------------- gate/trunk/doc/papers.html gate/trunk/doc/papers.yam Modified: gate/trunk/doc/papers.html =================================================================== --- gate/trunk/doc/papers.html 2024-02-27 16:39:28 UTC (rev 20403) +++ gate/trunk/doc/papers.html 2024-07-05 09:41:48 UTC (rev 20404) @@ -95,10 +95,16 @@ </ul> <h2 class="cow-heading">2024</h2><h3 class="cow-heading">Journal papers</h3> - + <ul> <li>Yida Mu, Pu Niu, Kalina Bontcheva, Nikolaos Aletras. (2024) Predicting and Analyzing the Popularity of False Rumors in Weibo. 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, 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. <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> + + <h3 class="cow-heading">Conference papers</h3> <ul> @@ -123,10 +129,18 @@ <h3 class="cow-heading">Conference papers</h3> <ul> +<li>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. <a class="cow-url" href="https://aclanthology.org/2023.emnlp-main.349/">https://aclanthology.org/2023.emnlp-main.349/</a></li> +</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. 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. <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, 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. <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. "It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits." EACL Findings (2023). <a class="cow-url" href="https://arxiv.org/abs/2302.03147">https://arxiv.org/abs/2302.03147</a></li> </ul> Modified: gate/trunk/doc/papers.yam =================================================================== --- gate/trunk/doc/papers.yam 2024-02-27 16:39:28 UTC (rev 20403) +++ gate/trunk/doc/papers.yam 2024-07-05 09:41:48 UTC (rev 20404) @@ -44,9 +44,13 @@ %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) +- 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. %(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738) + + + %3* Conference papers - Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song. Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling LREC-COLING 2024 @@ -63,8 +67,12 @@ %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/) + - 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/) +- 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/) + - 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) - 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) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |