Revision: 20410
http://sourceforge.net/p/gate/code/20410
Author: gate-project
Date: 2024-10-14 09:26:49 +0000 (Mon, 14 Oct 2024)
Log Message:
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[diana] Edited with GATEWiki
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 2024-08-30 11:08:40 UTC (rev 20409)
+++ gate/trunk/doc/papers.html 2024-10-14 09:26:49 UTC (rev 20410)
@@ -127,7 +127,12 @@
<li>Yue Li and Carolina Scarton. 2024. Can We Identify Stance without Target
Arguments? A Study for Rumour Stance Classification. In Proceedings of the 2024
Joint International Conference on Computational Linguistics, Language Resources
and Evaluation (LREC-COLING 2024), pages 2844–2851, Torino, Italia. ELRA
and ICCL. <a class="cow-url"
href="https://aclanthology.org/2024.lrec-main.253/";>https://aclanthology.org/2024.lrec-main.253/</a></li>
</ul>
<h3 class="cow-heading">Pre-print</h3>
+
<ul>
+<li>W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference. <a class="cow-url" href="arXiv preprint
https:/arxiv.org/pdf/2410.08289">arXiv preprint
https://arxiv.org/pdf/2410.08289</a></li>
+</ul>
+
+<ul>
<li>Leite, J. A., Razuvayevskaya, O., Bontcheva, K., & Scarton, C. (2024)
EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation
in News Articles <a class="cow-url" href="arXiv preprint
arXiv:2406.12614">arXiv preprint arXiv:2406.12614</a></li>
</ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2024-08-30 11:08:40 UTC (rev 20409)
+++ gate/trunk/doc/papers.yam 2024-10-14 09:26:49 UTC (rev 20410)
@@ -64,6 +64,9 @@
- Yue Li and Carolina Scarton. 2024. Can We Identify Stance without Target
Arguments? A Study for Rumour Stance Classification. In Proceedings of the 2024
Joint International Conference on Computational Linguistics, Language Resources
and Evaluation (LREC-COLING 2024), pages 2844–2851, Torino, Italia. ELRA and
ICCL. %(https://aclanthology.org/2024.lrec-main.253/)
%3* Pre-print
+
+- W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference. %(arXiv preprint https://arxiv.org/pdf/2410.08289)
+
- Leite, J. A., Razuvayevskaya, O., Bontcheva, K., & Scarton, C. (2024)
EUvsDisinfo: a Dataset for Multilingual Detection of Pro-Kremlin Disinformation
in News Articles %(arXiv preprint arXiv:2406.12614)
- Freddy Heppell, Mehmet E. Bakir, Kalina Bontcheva (2024) Lying Blindly:
Bypassing ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims
at Scale %(https://arxiv.org/abs/2402.08467)
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