Revision: 20440
          http://sourceforge.net/p/gate/code/20440
Author:   gate-project
Date:     2025-06-23 10:23:47 +0000 (Mon, 23 Jun 2025)
Log Message:
-----------
[jowright1] titles added to 2022 and 2021 

Modified Paths:
--------------
    gate/trunk/doc/papers.html
    gate/trunk/doc/papers.yam

Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html  2025-06-19 15:58:53 UTC (rev 20439)
+++ gate/trunk/doc/papers.html  2025-06-23 10:23:47 UTC (rev 20440)
@@ -192,6 +192,13 @@
 <li>X. Yang, Y. Mu, K. Bontcheva, X. Song (2024) <b>Optimising LLM-driven 
machine translation with context-aware sliding windows</b> In Proceedings of 
the Ninth Conference on Machine Translation, 1004-1010 <a class="cow-url" 
href="https://eprints.whiterose.ac.uk/223235/1/2024.wmt-1.101.pdf";>https://eprints.whiterose.ac.uk/223235/1/2024.wmt-1.101.pdf</a></li>
 </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 for Cost-Effective Cultural Heritage Dataset 
Generation</b> In Proceedings of the 4th International Conference on Natural 
Language Processing for Digital Humanities <a class="cow-url" 
href="https://aclanthology.org/2024.nlp4dh-1.43/";>https://aclanthology.org/2024.nlp4dh-1.43/</a></li>
+</ul>
+
+
+
+
 <h3 class="cow-heading">Pre-print</h3>
 
 <ul>
@@ -214,6 +221,10 @@
 <li>I. Srba, O. Razuvayevskaya, J.A. Leite, R. Moro, I.B. Schlicht, S. 
Tonelli, F. M. Garc&iacute;a, 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>
 
+<ul>
+<li>M. Pandya, N. S. Moosavi, D. Maynard (2024) <b>Exploring the Influence of 
Label Aggregation on Minority Voices: Implications for Dataset Bias and Model 
Training</b> <a class="cow-url" 
href="https://arxiv.org/abs/2412.04025";>https://arxiv.org/abs/2412.04025</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&rsquo;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>
@@ -274,6 +285,11 @@
 <li>D. Wilby, T. Karmakharm, I. Roberts, X. Song, K. Bontcheva (2023) <b>GATE 
Teamware 2: An open-source tool for collaborative document classification 
annotation</b> In Proceedings of the 17th Conference of the European Chapter of 
the Association for Computational Linguistics: System Demonstrations <a 
class="cow-url" 
href="https://aclanthology.org/2023.eacl-demo.17.pdf";>https://aclanthology.org/2023.eacl-demo.17.pdf</a></li>
 </ul>
 
+<ul>
+<li>D. Maynard (2023) <b>Towards an Early Warning System for Online and 
Offline Violence</b> In Proceedings of the 4th Conference on Language, Data and 
Knowledge <a class="cow-url" 
href="https://aclanthology.org/2023.ldk-1.1.pdf";>https://aclanthology.org/2023.ldk-1.1.pdf</a></li>
+</ul>
+
+
 <h3 class="cow-heading">Pre-print</h3>
 <ul>
 <li>M. Jin, Y. Mu, D. Maynard, K. Bontcheva. <b>Examining Temporal Bias in 
Abusive Language Detection</b> <a class="cow-url" 
href="https://arxiv.org/abs/2309.14146";>https://arxiv.org/abs/2309.14146</a></li>
@@ -323,6 +339,11 @@
 <ul>
 <li>Iknoor Singh, Yue Li, Melissa Thong, and Carolina Scarton (2022) 
<b>GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer 
for Multilingual News Article Similarity.</b> In Proceedings of the 16th 
International Workshop on Semantic Evaluation (SemEval-2022), pages 
1121&ndash;1128, Seattle, United States. Association for Computational 
Linguistics.  <a class="cow-url" 
href="https://aclanthology.org/2022.semeval-1.158/";>PDF</a></li>
 </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>
+</ul>
+
 <h3 class="cow-heading">Book chapters</h3>
 <ul>
 <li>Karen Jones, Diana Maynard, and Flurina Wartmann. <b>&quot;Best Practice 
for Forensic Fishing: Combining Text Processing with an Environmental History 
View of Historic Travel Writing in Loch Lomond, Scotland.&quot;</b> In Purves, 
Ross S., et al. &quot;Interdisciplinary Perspectives on Environmental 
Narratives.&quot; Unlocking Environmental Narratives: Towards Understanding 
Human Environment Interactions through Computational Text Analysis (2022): 17. 
<a class="cow-url" 
href="https://ubiquitypress.com/site/chapters/10.5334/bcs.g";>PDF</a></li>
@@ -340,7 +361,12 @@
 <ul>
 <li>Y. Li, C. Scarton, X. Song, K. Bontcheva (2022) <b>Classifying COVID-19 
vaccine narratives</b> <a class="cow-url" 
href="https://arxiv.org/pdf/2207.08522";>https://arxiv.org/pdf/2207.08522</a></li>
 </ul>
+<h3 class="cow-heading">Other</h3>
 
+<ul>
+<li>M. Alam, G. Fletcher, A. Isaac, A. Hogan, D. Maynard, H. Paulheim, H. 
Sack, E. Simperl, L. Stork, M. van Erp and H. Takeda (2022) <b>5.6 Bias in 
Knowledge Graph Systems</b> <a class="cow-url" 
href="https://drops.dagstuhl.de/storage/04dagstuhl-reports/volume12/issue09/22372/DagRep.12.9.60/DagRep.12.9.60.pdf#page=47";>https://drops.dagstuhl.de/storage/04dagstuhl-reports/volume12/issue09/22372/DagRep.12.9.60/DagRep.12.9.60.pdf#page=47</a></li>
+</ul>
+
 <h2 class="cow-heading">2021</h2>
 <h3 class="cow-heading">Journal papers</h3>
 <ul>
@@ -402,6 +428,10 @@
 <li>T. Farrell, M. Bakir, K. Bontcheva (2021) <b>MP Twitter Engagement and 
Abuse Post-first COVID-19 Lockdown in the UK: White Paper</b> <a 
class="cow-url" 
href="https://arxiv.org/abs/2103.02917";>https://arxiv.org/abs/2103.02917</a></li>
 </ul>
 
+<ul>
+<li>C. Reynolds, B. Takacs, A. Klimashevskaia, A. Angelsen, R. Ibanez Martin, 
S. Brewer, M. van Erp, A. Starke, D. Maynard and C. Trattner, (2021) 
<b>Comparing the environmental impacts of recipes from four different recipe 
databases using Natural Language Processing</b> <a class="cow-url" 
href="https://openaccess.city.ac.uk/id/eprint/27235/";>https://openaccess.city.ac.uk/id/eprint/27235/</a></li>
+</ul>
+
 <h3 class="cow-heading">Other</h3>
 
 <ul>

Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam   2025-06-19 15:58:53 UTC (rev 20439)
+++ gate/trunk/doc/papers.yam   2025-06-23 10:23:47 UTC (rev 20440)
@@ -102,7 +102,12 @@
 
 - X. Yang, Y. Mu, K. Bontcheva, X. Song (2024) *Optimising LLM-driven machine 
translation with context-aware sliding windows* In Proceedings of the Ninth 
Conference on Machine Translation, 1004-1010 
%(https://eprints.whiterose.ac.uk/223235/1/2024.wmt-1.101.pdf)
 
+- W. Thorne, A. Robinson, B. Peng, C. Lin, D. Maynard (2024) *Increasing the 
Difficulty of Automatically Generated Questions via Reinforcement Learning with 
Synthetic Preference for Cost-Effective Cultural Heritage Dataset Generation* 
In Proceedings of the 4th International Conference on Natural Language 
Processing for Digital Humanities %(https://aclanthology.org/2024.nlp4dh-1.43/)
 
+
+
+
+
 %3* Pre-print
 
 - F. Heppell, M. E. Bakir, K. Bontcheva (2024) *Lying Blindly: Bypassing 
ChatGPT's Safeguards to Generate Hard-to-Detect Disinformation Claims at Scale* 
%(https://arxiv.org/abs/2402.08467)
@@ -115,7 +120,9 @@
 
 - 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)
 
+- M. Pandya, N. S. Moosavi, D. Maynard (2024) *Exploring the Influence of 
Label Aggregation on Minority Voices: Implications for Dataset Bias and Model 
Training* %(https://arxiv.org/abs/2412.04025)
 
+
 %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
 
@@ -151,7 +158,10 @@
 
 - D. Wilby, T. Karmakharm, I. Roberts, X. Song, K. Bontcheva (2023) *GATE 
Teamware 2: An open-source tool for collaborative document classification 
annotation* In Proceedings of the 17th Conference of the European Chapter of 
the Association for Computational Linguistics: System Demonstrations 
%(https://aclanthology.org/2023.eacl-demo.17.pdf)
 
+- D. Maynard (2023) *Towards an Early Warning System for Online and Offline 
Violence* In Proceedings of the 4th Conference on Language, Data and Knowledge 
%(https://aclanthology.org/2023.ldk-1.1.pdf)
 
+
+
 %3* Pre-print
 - M. Jin, Y. Mu, D. Maynard, K. Bontcheva. *Examining Temporal Bias in Abusive 
Language Detection* %(https://arxiv.org/abs/2309.14146)
 
@@ -184,6 +194,9 @@
 
 - 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/)
+
+
 %3* Book chapters
 - Karen Jones, Diana Maynard, and Flurina Wartmann. *"Best Practice for 
Forensic Fishing: Combining Text Processing with an Environmental History View 
of Historic Travel Writing in Loch Lomond, Scotland."* In Purves, Ross S., et 
al. "Interdisciplinary Perspectives on Environmental Narratives." Unlocking 
Environmental Narratives: Towards Understanding Human Environment Interactions 
through Computational Text Analysis (2022): 17. 
%(https://ubiquitypress.com/site/chapters/10.5334/bcs.g, PDF)
 
@@ -195,7 +208,11 @@
 
 - Y. Li, C. Scarton, X. Song, K. Bontcheva (2022) *Classifying COVID-19 
vaccine narratives* %(https://arxiv.org/pdf/2207.08522)
 
+%3* Other
 
+- M. Alam, G. Fletcher, A. Isaac, A. Hogan, D. Maynard, H. Paulheim, H. Sack, 
E. Simperl, L. Stork, M. van Erp and H. Takeda (2022) *5.6 Bias in Knowledge 
Graph Systems* 
%(https://drops.dagstuhl.de/storage/04dagstuhl-reports/volume12/issue09/22372/DagRep.12.9.60/DagRep.12.9.60.pdf#page=47)
+
+
 %2* 2021
 
 %3* Journal papers
@@ -232,7 +249,9 @@
 
 - T. Farrell, M. Bakir, K. Bontcheva (2021) *MP Twitter Engagement and Abuse 
Post-first COVID-19 Lockdown in the UK: White Paper* 
%(https://arxiv.org/abs/2103.02917)
 
+- C. Reynolds, B. Takacs, A. Klimashevskaia, A. Angelsen, R. Ibanez Martin, S. 
Brewer, M. van Erp, A. Starke, D. Maynard and C. Trattner, (2021) *Comparing 
the environmental impacts of recipes from four different recipe databases using 
Natural Language Processing* %(https://openaccess.city.ac.uk/id/eprint/27235/)
 
+
 %3* Other
 
 - J. Posetti, D. Maynard and K. Bontcheva. *Maria Ressa: Fighting an Onslaught 
of Online Violence.*  ICFJ, Washington, D.C., March 2021. 
%(https://www.icfj.org/sites/default/files/2021-03/Maria%20Ressa-%20Fighting%20an%20Onslaught%20of%20Online%20Violence_0.pdf,
 PDF)

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

Reply via email to