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)
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