Revision: 20413
http://sourceforge.net/p/gate/code/20413
Author: gate-project
Date: 2024-10-23 15:09:04 +0000 (Wed, 23 Oct 2024)
Log Message:
-----------
[bpwu1] Add paper Don't Waste A Single Annotation
Modified Paths:
--------------
gate/trunk/doc/papers.html
gate/trunk/doc/papers.yam
Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html 2024-10-15 11:04:31 UTC (rev 20412)
+++ gate/trunk/doc/papers.html 2024-10-23 15:09:04 UTC (rev 20413)
@@ -174,6 +174,10 @@
</ul>
<ul>
+<li>Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, and Xingyi
Song. 2023. Don’t waste a single annotation: improving single-label
classifiers through soft labels. In Findings of the Association for
Computational Linguistics: EMNLP 2023, pages 5347–5355, Singapore.
Association for Computational Linguistics. <a class="cow-url"
href="https://aclanthology.org/2023.findings-emnlp.355/";>https://aclanthology.org/2023.findings-emnlp.355/</a></li>
+</ul>
+
+<ul>
<li>Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João A. Leite,
Carolina Scarton, Kalina Bontcheva, Xingyi Song. SheffieldVeraAI at
SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and
Persuasion Technique Classification. In Proceedings of the 17th International
Workshop on Semantic Evaluation (SemEval-2023), pages 1995–2008, Toronto,
Canada. Association for Computational Linguistics. <a class="cow-url"
href="https://aclanthology.org/2023.semeval-1.275/";>https://aclanthology.org/2023.semeval-1.275/</a></li>
</ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2024-10-15 11:04:31 UTC (rev 20412)
+++ gate/trunk/doc/papers.yam 2024-10-23 15:09:04 UTC (rev 20413)
@@ -92,6 +92,8 @@
- Matt Canute, Mali Jin, Hannah Holtzclaw, Alberto Lusoli, Philippa Adams,
Mugdha Pandya, Maite Taboada, Diana Maynard, and Wendy Hui Kyong Chun. 2023.
Dimensions of Online Conflict: Towards Modeling Agonism. In Findings of the
Association for Computational Linguistics: EMNLP 2023, pages 12194–12209,
Singapore. Association for Computational Linguistics.
%(https://aclanthology.org/2023.findings-emnlp.816/)
+- Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, and Xingyi
Song. 2023. Don’t waste a single annotation: improving single-label classifiers
through soft labels. In Findings of the Association for Computational
Linguistics: EMNLP 2023, pages 5347–5355, Singapore. Association for
Computational Linguistics. %(https://aclanthology.org/2023.findings-emnlp.355/)
+
- Ben Wu, Olesya Razuvayevskaya, Freddy Heppell, João A. Leite, Carolina
Scarton, Kalina Bontcheva, Xingyi Song. SheffieldVeraAI at SemEval-2023 Task 3:
Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique
Classification. In Proceedings of the 17th International Workshop on Semantic
Evaluation (SemEval-2023), pages 1995–2008, Toronto, Canada. Association for
Computational Linguistics. %(https://aclanthology.org/2023.semeval-1.275/)
- Yida Mu, Kalina Bontcheva, and Nikolaos Aletras. "It's about Time:
Rethinking Evaluation on Rumor Detection Benchmarks using Chronological
Splits." EACL Findings (2023). %(https://arxiv.org/abs/2302.03147)
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
_______________________________________________
GATE-cvs mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/gate-cvs
