Revision: 20458
http://sourceforge.net/p/gate/code/20458
Author: gate-project
Date: 2025-06-30 12:17:15 +0000 (Mon, 30 Jun 2025)
Log Message:
-----------
[jowright1] amending arxiv link to journal link
Modified Paths:
--------------
gate/trunk/doc/papers.html
gate/trunk/doc/papers.yam
Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html 2025-06-30 12:05:22 UTC (rev 20457)
+++ gate/trunk/doc/papers.html 2025-06-30 12:17:15 UTC (rev 20458)
@@ -205,7 +205,7 @@
</ul>
<ul>
-<li>W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) <b>Increasing
the Difficulty of Automatically Generated Questions via Reinforcement Learning
with Synthetic Preference.</b> Proc oftThe 4th International Conference on
Natural Language Processing for Digital Humanities – NLP4DH 2024. <a
class="cow-url" href="https://arxiv.org/pdf/2410.08289">arXiv pre-print</a></li>
+<li>W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) <b>Increasing
the Difficulty of Automatically Generated Questions via Reinforcement Learning
with Synthetic Preference.</b> Proc of The 4th International Conference on
Natural Language Processing for Digital Humanities – NLP4DH 2024. <a
class="cow-url"
href="https://aclanthology.org/2024.nlp4dh-1.43.pdf">https://aclanthology.org/2024.nlp4dh-1.43.pdf</a></li>
</ul>
<ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2025-06-30 12:05:22 UTC (rev 20457)
+++ gate/trunk/doc/papers.yam 2025-06-30 12:17:15 UTC (rev 20458)
@@ -108,7 +108,7 @@
- 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.
%(https://arxiv.org/pdf/2410.08289, arXiv 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.* Proc of The 4th International Conference on Natural
Language Processing for Digital Humanities – NLP4DH 2024.
%(https://aclanthology.org/2024.nlp4dh-1.43.pdf)
- A. Zareie, K. Bontcheva, C. Scarton (2024) *A Lightweight Approach for User
and Keyword Classification in Controversial Topics* in Aiello, L.M.,
Chakraborty, T., Gaito, S. (eds) Social Networks Analysis and Mining. ASONAM
2024. Lecture Notes in Computer Science, vol 15212. Springer, Cham.
%(https://link.springer.com/chapter/10.1007/978-3-031-78538-2_21)
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