Revision: 20465
          http://sourceforge.net/p/gate/code/20465
Author:   gate-project
Date:     2025-06-30 13:58:37 +0000 (Mon, 30 Jun 2025)
Log Message:
-----------
[jowright1] minor amendments for uniformity

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 13:41:19 UTC (rev 20464)
+++ gate/trunk/doc/papers.html  2025-06-30 13:58:37 UTC (rev 20465)
@@ -475,11 +475,11 @@
 
 <h3 class="cow-heading">Conference papers</h3>
 <ul>
-<li>Yida Mu, Pu Niu, and Nikolaos Aletras (2022) <b>&quot;Identifying and 
characterizing active citizens who refute misinformation in social 
media.&quot;</b> In 14th ACM Web Science Conference 2022, pp. 401-410</li>
+<li>Yida Mu, Pu Niu, and Nikolaos Aletras (2022) <b>&quot;Identifying and 
characterizing active citizens who refute misinformation in social 
media.&quot;</b> In 14th ACM Web Science Conference 2022, pp. 401-410 <a 
class="cow-url" 
href="https://arxiv.org/abs/2204.10080";>https://arxiv.org/abs/2204.10080</a></li>
 </ul>
 
 <ul>
-<li>Iknoor Singh, Kalina Bontcheva, Xingyi Song, and Carolina Scarton. (2022) 
<b>&quot;Comparative Analysis of Engagement, Themes, and Causality of 
Ukraine-Related Debunks and Disinformation.&quot;</b> In Social Informatics: 
13th International Conference, SocInfo 2022, Glasgow, UK, October 19&ndash;21, 
2022, Proceedings, pp. 128-143. Cham: Springer International Publishing, 2022. 
<a class="cow-url" 
href="https://link.springer.com/chapter/10.1007/978-3-031-19097-1_8";>PDF</a> <a 
class="cow-url" 
href="https://zenodo.org/record/6992686#.Y_jnrezP1UI";>Dataset</a></li>
+<li>Iknoor Singh, Kalina Bontcheva, Xingyi Song, and Carolina Scarton (2022) 
<b>&quot;Comparative Analysis of Engagement, Themes, and Causality of 
Ukraine-Related Debunks and Disinformation&quot;</b> In Social Informatics: 
13th International Conference, SocInfo 2022, Glasgow, UK, October 19&ndash;21, 
2022, Proceedings, pp. 128-143. Cham: Springer International Publishing, 2022. 
<a class="cow-url" 
href="https://link.springer.com/chapter/10.1007/978-3-031-19097-1_8";>PDF</a> <a 
class="cow-url" 
href="https://zenodo.org/record/6992686#.Y_jnrezP1UI";>Dataset</a></li>
 </ul>
 
 <ul>
@@ -487,7 +487,7 @@
 </ul>
 
 <ul>
-<li>T. A. F. Green, D. Maynard and C. Lin (2022) <b>Development of a benchmark 
corpus to support entity recognition in job descriptions</b> In Proceedings of 
the Thirteenth Language Resources and Evaluation Conference <a class="cow-url" 
href="https://eprints.whiterose.ac.uk/id/eprint/208054/";>https://eprints.whiterose.ac.uk/id/eprint/208054/</a></li>
+<li>T. A. F. Green, D. Maynard and C. Lin (2022) <b>Development of a Benchmark 
Corpus to Support Entity Recognition in Job Descriptions</b> In Proceedings of 
the Thirteenth Language Resources and Evaluation Conference <a class="cow-url" 
href="https://aclanthology.org/2022.lrec-1.128/";>https://aclanthology.org/2022.lrec-1.128/</a></li>
 </ul>
 
 <ul>

Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam   2025-06-30 13:41:19 UTC (rev 20464)
+++ gate/trunk/doc/papers.yam   2025-06-30 13:58:37 UTC (rev 20465)
@@ -263,13 +263,13 @@
 
 
 %3* Conference papers
-- Yida Mu, Pu Niu, and Nikolaos Aletras (2022) *"Identifying and 
characterizing active citizens who refute misinformation in social media."* In 
14th ACM Web Science Conference 2022, pp. 401-410
+- Yida Mu, Pu Niu, and Nikolaos Aletras (2022) *"Identifying and 
characterizing active citizens who refute misinformation in social media."* In 
14th ACM Web Science Conference 2022, pp. 401-410 
%(https://arxiv.org/abs/2204.10080)
 
-- Iknoor Singh, Kalina Bontcheva, Xingyi Song, and Carolina Scarton. (2022) 
*"Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related 
Debunks and Disinformation."* In Social Informatics: 13th International 
Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, Proceedings, pp. 
128-143. Cham: Springer International Publishing, 2022. 
%(https://link.springer.com/chapter/10.1007/978-3-031-19097-1_8, PDF) 
%(https://zenodo.org/record/6992686#.Y_jnrezP1UI, Dataset)
+- Iknoor Singh, Kalina Bontcheva, Xingyi Song, and Carolina Scarton (2022) 
*"Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related 
Debunks and Disinformation"* In Social Informatics: 13th International 
Conference, SocInfo 2022, Glasgow, UK, October 19–21, 2022, Proceedings, pp. 
128-143. Cham: Springer International Publishing, 2022. 
%(https://link.springer.com/chapter/10.1007/978-3-031-19097-1_8, PDF) 
%(https://zenodo.org/record/6992686#.Y_jnrezP1UI, Dataset)
 
 - Iknoor Singh, Yue Li, Melissa Thong, and Carolina Scarton (2022) 
*GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for 
Multilingual News Article Similarity.* In Proceedings of the 16th International 
Workshop on Semantic Evaluation (SemEval-2022), pages 1121–1128, Seattle, 
United States. Association for Computational Linguistics.  
%(https://aclanthology.org/2022.semeval-1.158/, PDF)
 
-- T. A. F. Green, D. Maynard and C. Lin (2022) *Development of a benchmark 
corpus to support entity recognition in job descriptions* In Proceedings of the 
Thirteenth Language Resources and Evaluation Conference 
%(https://eprints.whiterose.ac.uk/id/eprint/208054/)
+- T. A. F. Green, D. Maynard and C. Lin (2022) *Development of a Benchmark 
Corpus to Support Entity Recognition in Job Descriptions* In Proceedings of the 
Thirteenth Language Resources and Evaluation Conference 
%(https://aclanthology.org/2022.lrec-1.128/)
 
 - H. Moniz, L. Macken, A. Rufener, L. Barrault, M. R. Costa-jussà, C. 
Declercq, M. Koponen, E. Kemp, S. Pilos, M. L. Forcada, C. Scarton, J. Van Den 
Bogaert, J. Daems, A. Tezcan, B. Vanroy, M. Fonteyne (2022) *Proceedings of the 
23rd Annual Conference of the European Association for Machine Translation* In 
Proceedings of the 23rd Annual Conference of the European Association for 
Machine Translation %(https://aclanthology.org/2022.eamt-1.0.pdf)
 

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