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: ----------- [diana] 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 2024-10-14 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) This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. _______________________________________________ GATE-cvs mailing list GATE-cvs@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/gate-cvs