Revision: 20427
http://sourceforge.net/p/gate/code/20427
Author: gate-project
Date: 2025-06-17 15:43:09 +0000 (Tue, 17 Jun 2025)
Log Message:
-----------
[jowright1] Added more titles from 2024 and 2025
Modified Paths:
--------------
gate/trunk/doc/papers.html
gate/trunk/doc/papers.yam
Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html 2025-06-17 14:06:15 UTC (rev 20426)
+++ gate/trunk/doc/papers.html 2025-06-17 15:43:09 UTC (rev 20427)
@@ -145,7 +145,11 @@
<li>Olesya Razuvayevskaya, Ben Wu, João A. Leite, Freddy Heppell, Ivan
Srba, Carolina Scarton, Kalina Bontcheva, Xingyi Song. (2024) <b>Comparison
between parameter-efficient techniques and full fine-tuning: A case study on
multilingual news article classification.</b> PLoS ONE. <a class="cow-url"
href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738";>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738</a>
</li>
</ul>
+<ul>
+<li>M.E. Bakir, T. Farrell, K. Bontcheva (2024) <b>Abuse in the time of
COVID-19: the effects of Brexit, gender and partisanship</b> Online Information
Review 48 (5), 1045-1062 <a class="cow-url"
href="https://www.emerald.com/insight/content/doi/10.1108/oir-07-2022-0392/full/html";>https://www.emerald.com/insight/content/doi/10.1108/oir-07-2022-0392/full/html</a></li>
+</ul>
+
<h3 class="cow-heading">Conference papers</h3>
<ul>
@@ -175,6 +179,14 @@
<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>
</ul>
+
+<ul>
+<li>A. Zareie, K. Bontcheva, C. Scarton (2024) <b>A Lightweight Approach for
User and Keyword Classification in Controversial Topics</b> 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. <a
class="cow-url"
href="https://link.springer.com/chapter/10.1007/978-3-031-78538-2_21";>https://link.springer.com/chapter/10.1007/978-3-031-78538-2_21</a></li>
+</ul>
+
+ <ul>
+ <li>C. Grimshaw, K. Bontcheva, X. Song (2024) <b>Sheffieldveraai at
semeval-2024 task 4: Prompting and fine-tuning a large vision-language model
for binary classification of persuasion techniques in memes</b> In Proceedings
of the 18th International Workshop on Semantic Evaluation (SemEval-2024) pp
2051-2056 <a class="cow-url"
href="https://aclanthology.org/2024.semeval-1.278/";>https://aclanthology.org/2024.semeval-1.278/</a></li>
+ </ul>
<h3 class="cow-heading">Pre-print</h3>
<ul>
@@ -186,8 +198,17 @@
</ul>
<ul>
-<li>Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024).
<b>Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection.</b> <a
class="cow-url" href="https://arxiv.org/pdf/2407.12880";>arXiv pre-print</a></li>
+<li>Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024).
<b>Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection.</b> <a
class="cow-url"
href="https://arxiv.org/pdf/2407.12880";>https://arxiv.org/pdf/2407.12880</a></li>
</ul>
+
+<ul>
+<li>M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2024) <b>Hostility Detection
in UK Politics: A Dataset on Online Abuse Targeting MPs</b> <a class="cow-url"
href="https://arxiv.org/abs/2412.04046";>https://arxiv.org/abs/2412.04046</a></li>
+</ul>
+
+<ul>
+<li>I. Srba, O. Razuvayevskaya, J.A. Leite, R. Moro, I.B. Schlicht, S.
Tonelli, F. M. García, S. B. Lottmann, D. Teyssou, V. Porcellini, C.
Scarton, K. Bontcheva, M. Bielikova (2024) <b>A Survey on Automatic Credibility
Assessment of Textual Credibility Signals in the Era of Large Language
Models</b> <a class="cow-url"
href="https://arxiv.org/abs/2410.21360";>https://arxiv.org/abs/2410.21360</a></li>
+</ul>
+
<h3 class="cow-heading">Other</h3>
<ul>
<li>J. Reid, J. Posetti, D. Maynard, N. Shabbir, D.K. Hapal (2024). <b>The
women journalists of South Africa’s Daily Maverick: SEXUALIZED, SILENCED
AND LABELED SATAN.</b> International Center for Journalists. <a
class="cow-url"
href="https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf";>https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf</a></li>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2025-06-17 14:06:15 UTC (rev 20426)
+++ gate/trunk/doc/papers.yam 2025-06-17 15:43:09 UTC (rev 20427)
@@ -76,8 +76,10 @@
- Olesya Razuvayevskaya, Ben Wu, João A. Leite, Freddy Heppell, Ivan Srba,
Carolina Scarton, Kalina Bontcheva, Xingyi Song. (2024) *Comparison between
parameter-efficient techniques and full fine-tuning: A case study on
multilingual news article classification.* PLoS ONE.
%(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0301738)
+- M.E. Bakir, T. Farrell, K. Bontcheva (2024) *Abuse in the time of COVID-19:
the effects of Brexit, gender and partisanship* Online Information Review 48
(5), 1045-1062
%(https://www.emerald.com/insight/content/doi/10.1108/oir-07-2022-0392/full/html)
+
%3* Conference papers
- J.A. Leite, O. Razuvayevskaya, K. Bontcheva, & C. Scarton (2024)
*EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin
Disinformation in News Articles.* CIKM 2024
%(https://dl.acm.org/doi/abs/10.1145/3627673.3679167)
@@ -94,6 +96,10 @@
- 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)
+- 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)
+
+ - C. Grimshaw, K. Bontcheva, X. Song (2024) *Sheffieldveraai at semeval-2024
task 4: Prompting and fine-tuning a large vision-language model for binary
classification of persuasion techniques in memes* In Proceedings of the 18th
International Workshop on Semantic Evaluation (SemEval-2024) pp 2051-2056
%(https://aclanthology.org/2024.semeval-1.278/)
+
%3* Pre-print
- 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)
@@ -100,8 +106,13 @@
- Y Mu, P Bai, K Bontcheva, X Song. (2024) *Addressing Topic Granularity and
Hallucination in Large Language Models for Topic Modelling*
%(https://arxiv.org/pdf/2405.00611)
-- Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024). *Cross-Modal
Augmentation for Few-Shot Multimodal Fake News Detection.*
%(https://arxiv.org/pdf/2407.12880, arXiv pre-print)
+- Y. Jiang, T. Wang, X. Xu, Y. Wang, X. Song & D. Maynard (2024). *Cross-Modal
Augmentation for Few-Shot Multimodal Fake News Detection.*
%(https://arxiv.org/pdf/2407.12880)
+- M. Pandya, M. Jin, K. Bontcheva, D. Maynard (2024) *Hostility Detection in
UK Politics: A Dataset on Online Abuse Targeting MPs*
%(https://arxiv.org/abs/2412.04046)
+
+- I. Srba, O. Razuvayevskaya, J.A. Leite, R. Moro, I.B. Schlicht, S. Tonelli,
F. M. García, S. B. Lottmann, D. Teyssou, V. Porcellini, C. Scarton, K.
Bontcheva, M. Bielikova (2024) *A Survey on Automatic Credibility Assessment of
Textual Credibility Signals in the Era of Large Language Models*
%(https://arxiv.org/abs/2410.21360)
+
+
%3* Other
- J. Reid, J. Posetti, D. Maynard, N. Shabbir, D.K. Hapal (2024). *The women
journalists of South Africa’s Daily Maverick: SEXUALIZED, SILENCED AND LABELED
SATAN.* International Center for Journalists.
https://www.icfj.org/sites/default/files/2024-08/ICFJ_BigData_Carmen_v11.pdf
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