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
===================================================================
--- 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. 3551–3564 <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. 556–567 <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. 3464–3477 <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. Larédo (2020)
<b>Using ontologies to map between research data and policymakers’
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. Larédo (2020)
<b>Using ontologies to map between research data and policymakers’
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>"Identifying Twitter users who repost
unreliable news sources with linguistic information."</b> PeerJ Computer
Science 6 (2020): e325.</li>
+<li>Y. Mu, and N. Aletras (2020) <b>"Identifying Twitter users who repost
unreliable news sources with linguistic information."</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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