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Revision: 20468
          http://sourceforge.net/p/gate/code/20468
Author:   gate-project
Date:     2025-06-30 15:25:33 +0000 (Mon, 30 Jun 2025)
Log Message:
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[jowright1] minor amendments for uniformity

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

Modified: gate/trunk/doc/papers.html
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--- gate/trunk/doc/papers.html	2025-06-30 15:12:54 UTC (rev 20467)
+++ gate/trunk/doc/papers.html	2025-06-30 15:25:33 UTC (rev 20468)
@@ -620,7 +620,15 @@
 <li>M. Garcia, T. K. Vieira, C. Scarton, M. Idiart and A. Villavicencio (2021) <b>Probing for idiomaticity in vector space models</b> In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, pp. 3551&ndash;3564 <a class="cow-url" href="https://aclanthology.org/2021.eacl-main.310/">https://aclanthology.org/2021.eacl-main.310/</a></li>
 </ul>
 
+<ul>
+<li>Y. Jiang, X. Song, C. Scarton, A. Aker, K. Bontcheva (2021) <b>Categorising fine-to-coarse grained misinformation: An empirical study of covid-19 infodemic</b> In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pp. 556&ndash;567 <a class="cow-url" href="https://aclanthology.org/2023.ranlp-1.61/">https://aclanthology.org/2023.ranlp-1.61/</a></li>
+</ul>
 
+<ul>
+<li>H. T. Madabushi, E. Gow-Smith, C. Scarton and A. Villavicencio (2021) <b>AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models</b> In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 3464&ndash;3477 <a class="cow-url" href="https://aclanthology.org/2021.findings-emnlp.294/">https://aclanthology.org/2021.findings-emnlp.294/</a></li>
+</ul>
+
+
 <h3 class="cow-heading">Pre-prints</h3>
 
 <ul>
@@ -628,10 +636,6 @@
 </ul>
 
 <ul>
-<li>Y. Jiang, X. Song, C. Scarton, A. Aker, K. Bontcheva (2021) <b>Categorising fine-to-coarse grained misinformation: An empirical study of covid-19 infodemic</b> <a class="cow-url" href="https://arxiv.org/abs/2106.11702">https://arxiv.org/abs/2106.11702</a></li>
-</ul>
-
-<ul>
 <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>
 
@@ -639,9 +643,6 @@
 <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>
 
-<ul>
-<li>H. T. Madabushi, E. Gow-Smith, C. Scarton and A. Villavicencio (2021) <b>AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models</b> <a class="cow-url" href="https://arxiv.org/abs/2109.04413">https://arxiv.org/abs/2109.04413</a></li>
-</ul>
 
 <h3 class="cow-heading">Other</h3>
 
@@ -654,7 +655,7 @@
 </ul>
 
  <ul>
- <li>Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke, Diana Maynard, Christoph Trattner (2021) <b>Comparing the environmental impacts of recipes from four different recipe databases using Natural Language Processing.</b> <a class="cow-url" href="LEAP-Poster-2021.pdf">Poster</a> presented at Livestock, Environment and People (LEAP) conference, 6 December 2021, Oxford, UK.</li>
+ <li>Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke, Diana Maynard, Christoph Trattner (2021) <b>Comparing the environmental impacts of recipes from four different recipe databases using Natural Language Processing</b> <a class="cow-url" href="LEAP-Poster-2021.pdf">Poster</a> presented at Livestock, Environment and People (LEAP) conference, 6 December 2021, Oxford, UK.</li>
  </ul>
 
 <h2 class="cow-heading">2020</h2>
@@ -661,23 +662,23 @@
 <h3 class="cow-heading">Journal papers</h3>
 
 <ul>
-<li>D. Maynard, B. Lepori, J. Petrak, X. Song, P. Lar&eacute;do (2020) <b>Using ontologies to map between research data and policymakers&rsquo; presumptions: the experience of the KNOWMAK project.</b> Journal of Scientometrics 2020. DOI: 10.1007/s11192-020-03664-6. <a class="cow-url" href="https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst">Springer link</a></li>
+<li>D. Maynard, B. Lepori, J. Petrak, X. Song, P. Lar&eacute;do (2020) <b>Using ontologies to map between research data and policymakers&rsquo; presumptions: the experience of the KNOWMAK project</b> Journal of Scientometrics 2020. DOI: 10.1007/s11192-020-03664-6. <a class="cow-url" href="https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst">https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst</a></li>
 </ul>
 
 <ul>
-<li>J. Harrison, D. Maynard and S. Torsner (2020) <b>Strengthening the Monitoring of SDG 16.10.1 and the Manifestations of Violations against Journalists through an Events-based Methodology.</b> Journal of Media and Communication, vol. 8, no. 1: Rethinking the Safety of Journalists, 2020. <a class="cow-url" href="https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543">online version</a></li>
+<li>J. Harrison, D. Maynard and S. Torsner (2020) <b>Strengthening the Monitoring of SDG 16.10.1 and the Manifestations of Violations against Journalists through an Events-based Methodology</b> Journal of Media and Communication, vol. 8, no. 1: Rethinking the Safety of Journalists, 2020. <a class="cow-url" href="https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543">https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543</a></li>
 </ul>
 
 <ul>
-<li>G. Gorrell, M. E. Bakir, I. Roberts, M. A. Greenwood, and K. Bontcheva (2020). <b>Which politicians receive abuse? Four factors illuminated in the UK general election 2019.</b> EPJ Data Science, 9(1), 18. <a class="cow-url" href="https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00236-9">online version</a></li>
+<li>G. Gorrell, M. E. Bakir, I. Roberts, M. A. Greenwood, and K. Bontcheva (2020) <b>Which politicians receive abuse? Four factors illuminated in the UK general election 2019</b> EPJ Data Science, 9(1), 18. <a class="cow-url" href="https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00236-9">https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00236-9</a></li>
 </ul>
 
 <ul>
-<li>Y. Mu, and N. Aletras (2020) <b>&quot;Identifying Twitter users who repost unreliable news sources with linguistic information.&quot;</b> PeerJ Computer Science 6 (2020): e325.</li>
+<li>Y. Mu, and N. Aletras (2020) <b>&quot;Identifying Twitter users who repost unreliable news sources with linguistic information.&quot;</b> PeerJ Computer Science 6 (2020): e325 <a class="cow-url" href="https://peerj.com/articles/cs-325/">https://peerj.com/articles/cs-325/</a></li>
 </ul>
 
 <ul>
-<li>T. Farrell, G. Gorrell and K. Bontcheva (2020) <b>Vindication, virtue, and vitriol.</b> Journal of Computational Social Science, vol 3, no 2. 2020. <a class="cow-url" href="https://link.springer.com/article/10.1007/s42001-020-00090-9">online version</a>.</li>
+<li>T. Farrell, G. Gorrell and K. Bontcheva (2020) <b>Vindication, virtue, and vitriol.</b> Journal of Computational Social Science, vol 3, no 2. 2020, pp. 401-443 <a class="cow-url" href="https://link.springer.com/article/10.1007/s42001-020-00090-9">https://link.springer.com/article/10.1007/s42001-020-00090-9</a></li>
 </ul>
 
 <ul>

Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam	2025-06-30 15:12:54 UTC (rev 20467)
+++ gate/trunk/doc/papers.yam	2025-06-30 15:25:33 UTC (rev 20468)
@@ -346,19 +346,20 @@
 
 - M. Garcia, T. K. Vieira, C. Scarton, M. Idiart and A. Villavicencio (2021) *Probing for idiomaticity in vector space models* In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics, pp. 3551–3564 %(https://aclanthology.org/2021.eacl-main.310/)
 
+- Y. Jiang, X. Song, C. Scarton, A. Aker, K. Bontcheva (2021) *Categorising fine-to-coarse grained misinformation: An empirical study of covid-19 infodemic* In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pp. 556–567 %(https://aclanthology.org/2023.ranlp-1.61/)
 
+- H. T. Madabushi, E. Gow-Smith, C. Scarton and A. Villavicencio (2021) *AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models* In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 3464–3477 %(https://aclanthology.org/2021.findings-emnlp.294/)
 
+
+
 %3* Pre-prints
 
 - I. Singh, K. Bontcheva, C. Scarton (2021) *The false covid-19 narratives that keep being debunked: A spatiotemporal analysis* %(https://arxiv.org/abs/2107.12303)
 
-- Y. Jiang, X. Song, C. Scarton, A. Aker, K. Bontcheva (2021) *Categorising fine-to-coarse grained misinformation: An empirical study of covid-19 infodemic* %(https://arxiv.org/abs/2106.11702)
-
 - 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/)
 
-- H. T. Madabushi, E. Gow-Smith, C. Scarton and A. Villavicencio (2021) *AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models* %(https://arxiv.org/abs/2109.04413)
 
 
 %3* Other
@@ -367,7 +368,7 @@
 
 - J. Posetti, N. Shabbir, D. Maynard, K. Bontcheva, N. Aboulez (2021). *The Chilling: Global trends in online violence against women journalists.* Research discussion paper. UNESCO, April 2021. %(https://www.icfj.org/our-work/chilling-global-study-online-violence-against-women-journalists, PDF)
 
- - Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke, Diana Maynard, Christoph Trattner (2021) *Comparing the environmental impacts of recipes from four different recipe databases using Natural Language Processing.* %(LEAP-Poster-2021.pdf, Poster) presented at Livestock, Environment and People (LEAP) conference, 6 December 2021, Oxford, UK.
+ - Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke, Diana Maynard, Christoph Trattner (2021) *Comparing the environmental impacts of recipes from four different recipe databases using Natural Language Processing* %(LEAP-Poster-2021.pdf, Poster) presented at Livestock, Environment and People (LEAP) conference, 6 December 2021, Oxford, UK.
 
 
 %2* 2020
@@ -374,15 +375,15 @@
 
 %3* Journal papers
 
-- D. Maynard, B. Lepori, J. Petrak, X. Song, P. Larédo (2020) *Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project.* Journal of Scientometrics 2020. DOI: 10.1007/s11192-020-03664-6. %(https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst, Springer link)
+- D. Maynard, B. Lepori, J. Petrak, X. Song, P. Larédo (2020) *Using ontologies to map between research data and policymakers’ presumptions: the experience of the KNOWMAK project* Journal of Scientometrics 2020. DOI: 10.1007/s11192-020-03664-6. %(https://link.springer.com/article/10.1007/s11192-020-03664-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst)
 
-- J. Harrison, D. Maynard and S. Torsner (2020) *Strengthening the Monitoring of SDG 16.10.1 and the Manifestations of Violations against Journalists through an Events-based Methodology.* Journal of Media and Communication, vol. 8, no. 1: Rethinking the Safety of Journalists, 2020. %(https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543, online version)
+- J. Harrison, D. Maynard and S. Torsner (2020) *Strengthening the Monitoring of SDG 16.10.1 and the Manifestations of Violations against Journalists through an Events-based Methodology* Journal of Media and Communication, vol. 8, no. 1: Rethinking the Safety of Journalists, 2020. %(https://www.cogitatiopress.com/mediaandcommunication/article/view/2543/2543)
 
-- G. Gorrell, M. E. Bakir, I. Roberts, M. A. Greenwood, and K. Bontcheva (2020). *Which politicians receive abuse? Four factors illuminated in the UK general election 2019.* EPJ Data Science, 9(1), 18. %(https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00236-9, online version)
+- G. Gorrell, M. E. Bakir, I. Roberts, M. A. Greenwood, and K. Bontcheva (2020) *Which politicians receive abuse? Four factors illuminated in the UK general election 2019* EPJ Data Science, 9(1), 18. %(https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-020-00236-9)
 
-- Y. Mu, and N. Aletras (2020) *"Identifying Twitter users who repost unreliable news sources with linguistic information."* PeerJ Computer Science 6 (2020): e325.
+- Y. Mu, and N. Aletras (2020) *"Identifying Twitter users who repost unreliable news sources with linguistic information."* PeerJ Computer Science 6 (2020): e325 %(https://peerj.com/articles/cs-325/)
 
-- T. Farrell, G. Gorrell and K. Bontcheva (2020) *Vindication, virtue, and vitriol.* Journal of Computational Social Science, vol 3, no 2. 2020. %(https://link.springer.com/article/10.1007/s42001-020-00090-9, online version).
+- T. Farrell, G. Gorrell and K. Bontcheva (2020) *Vindication, virtue, and vitriol.* Journal of Computational Social Science, vol 3, no 2. 2020, pp. 401-443 %(https://link.springer.com/article/10.1007/s42001-020-00090-9)
 
 - X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard, K. Bontcheva (2020) *Classification aware neural topic model and its application on a new COVID-19 disinformation corpus* PLoS ONE 16(2): e0247086 %(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086)
 

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