From: <gat...@us...> - 2024-02-27 16:39:31
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Revision: 20403 http://sourceforge.net/p/gate/code/20403 Author: gate-project Date: 2024-02-27 16:39:28 +0000 (Tue, 27 Feb 2024) Log Message: ----------- [yidamu] Edited with GATEWiki 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 16:38:00 UTC (rev 20402) +++ gate/trunk/doc/papers.html 2024-02-27 16:39:28 UTC (rev 20403) @@ -95,13 +95,17 @@ </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> -<h3 class="cow-heading">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</h3> +<h3 class="cow-heading">Conference papers</h3> <ul> +<li>Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song. Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling LREC-COLING 2024</li> +</ul> + +<ul> <li>Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song. Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. LREC-COLING 2024 <a class="cow-url" href="https://arxiv.org/abs/2304.04806">https://arxiv.org/abs/2304.04806</a></li> </ul> Modified: gate/trunk/doc/papers.yam =================================================================== --- gate/trunk/doc/papers.yam 2024-02-27 16:38:00 UTC (rev 20402) +++ gate/trunk/doc/papers.yam 2024-02-27 16:39:28 UTC (rev 20403) @@ -44,11 +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) %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 +- Yida Mu, Chun Dong, Kalina Bontcheva, Xingyi Song. Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling LREC-COLING 2024 + - Yida Mu, Mali Jin, Kalina Bontcheva, Xingyi Song. Examining Temporalities on Stance Detection Towards COVID-19 Vaccination. LREC-COLING 2024 %(https://arxiv.org/abs/2304.04806) - Yida Mu, Xingyi Song, Kalina Bontcheva, and Nikolaos Aletras. Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. LREC-COLING 2024 %(https://arxiv.org/abs/2309.11576) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. |