Revision: 20411
http://sourceforge.net/p/gate/code/20411
Author: gate-project
Date: 2024-10-15 11:01:19 +0000 (Tue, 15 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 2024-10-14 09:26:49 UTC (rev 20410)
+++ gate/trunk/doc/papers.html 2024-10-15 11:01:19 UTC (rev 20411)
@@ -126,11 +126,11 @@
<ul>
<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>
+<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. Proc oftThe 4th International Conference on Natural
Language Processing for Digital Humanities – NLP4DH 2024. <a
class="cow-url" href="arXiv preprint https:/arxiv.org/pdf/2410.08289">arXiv
preprint https://arxiv.org/pdf/2410.08289</a></li>
</ul>
+<h3 class="cow-heading">Pre-print</h3>
<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>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2024-10-14 09:26:49 UTC (rev 20410)
+++ gate/trunk/doc/papers.yam 2024-10-15 11:01:19 UTC (rev 20411)
@@ -63,10 +63,10 @@
- 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/)
+- W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) Increasing the
Difficulty of Automatically Generated Questions via Reinforcement Learning with
Synthetic Preference. Proc oftThe 4th International Conference on Natural
Language Processing for Digital Humanities – NLP4DH 2024. %(arXiv preprint
https://arxiv.org/pdf/2410.08289)
+
%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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