Revision: 20436
http://sourceforge.net/p/gate/code/20436
Author: gate-project
Date: 2025-06-19 14:01:37 +0000 (Thu, 19 Jun 2025)
Log Message:
-----------
[jowright1] various amendments for 2020
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 2025-06-19 13:41:24 UTC (rev 20435)
+++ gate/trunk/doc/papers.html 2025-06-19 14:01:37 UTC (rev 20436)
@@ -348,7 +348,7 @@
</ul>
<ul>
-<li>X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard and K. Bontcheva.
<b>"Classification aware neural topic model for COVID-19 disinformation
categorisation."</b> PloS one 16, no. 2 (2021): e0247086.</li>
+<li>X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard and K. Bontcheva.
<b>"Classification aware neural topic model for COVID-19 disinformation
categorisation."</b> PloS one 16, no. 2 (2021): e0247086. <a
class="cow-url"
href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086";>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086</a></li>
</ul>
<ul>
@@ -384,6 +384,24 @@
<ul>
<li>R. Mitkov, G. Angelova (2021) <b>Proceedings of the International
Conference on Recent Advances in Natural Language Processing (RANLP 2021)</b>
In Proceedings of the International Conference on Recent Advances in Natural
Language Processing (RANLP 2021) <a class="cow-url"
href="https://aclanthology.org/2021.ranlp-1.0.pdf";>https://aclanthology.org/2021.ranlp-1.0.pdf</a></li>
</ul>
+
+<ul>
+<li>G. Rehm, S. Piperidis, K. Bontcheva, J. Hajic et al. (2021) <b>European
Language Grid: A Joint Platform for the European Language Technology
Community</b> In 6th Conference of the European Chapter of the Association for
Computational Linguistics pp 221-230 <a class="cow-url"
href="https://www.research.ed.ac.uk/en/publications/european-language-grid-a-joint-platform-for-the-european-language";>https://www.research.ed.ac.uk/en/publications/european-language-grid-a-joint-platform-for-the-european-language</a></li>
+</ul>
+<h3 class="cow-heading">Pre-prints</h3>
+
+<ul>
+<li>I. Singh, K. Bontcheva, C. Scarton (2021) <b>The false covid-19 narratives
that keep being debunked: A spatiotemporal analysis</b> <a class="cow-url"
href="https://arxiv.org/abs/2107.12303";>https://arxiv.org/abs/2107.12303</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> <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>
+
<h3 class="cow-heading">Other</h3>
<ul>
@@ -398,39 +416,36 @@
<li>Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug
Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke,
Diana Maynard, Christoph Trattner. <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>
<h3 class="cow-heading">Journal papers</h3>
<ul>
-<li>Diana Maynard, Benedetto Lepori, Johann Petrak, Xingyi Song, Philippe
Larédo. <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. <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>
</ul>
<ul>
-<li>Jackie Harrison, Diana Maynard and Sara Torsner. <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. <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>
</ul>
<ul>
-<li>Gorrell, G., Bakir, M. E., Roberts, I., Greenwood, M. A., & Bontcheva,
K. (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";>online
version</a></li>
</ul>
<ul>
-<li>Mu, Yida, and Nikolaos Aletras. <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. <b>"Identifying Twitter users who repost
unreliable news sources with linguistic information."</b> PeerJ Computer
Science 6 (2020): e325.</li>
</ul>
<ul>
-<li>Tracie Farrell, Genevieve Gorrell and Kalina Bontcheva. <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. <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>
</ul>
<h3 class="cow-heading">Conference papers</h3>
<ul>
-<li>Diana Maynard and Adam Funk. <b>Combining expert knowledge with NLP for
specialised applications.</b> Proc. of 23rd International Conference on Text,
Speech and Dialogue (TSD), Brno, Czech Republic, Sep 8-11, 2020. <a
class="cow-url"
href="https://link.springer.com/chapter/10.1007/978-3-030-58323-1_1";>Springer
link</a></li>
+<li>D. Maynard and A. Funk. <b>Combining expert knowledge with NLP for
specialised applications.</b> Proc. of 23rd International Conference on Text,
Speech and Dialogue (TSD), Brno, Czech Republic, Sep 8-11, 2020. <a
class="cow-url"
href="https://link.springer.com/chapter/10.1007/978-3-030-58323-1_1";>Springer
link</a></li>
</ul>
<ul>
-<li>Xingyi Song, Johnny Downs, Sumithra Velupillai, Rachel Holden, Maxim
Kikoler, Kalina Bontcheva, RinaDutta, Angus Roberts. Using Deep Neural Networks
with Intra- and Inter-Sentence Context to ClassifySuicidal Behaviour.In: The
12th International Conference on Language Resources and Evaluation, 2020</li>
+<li>X. Song, J. Downs, S. Velupillai, R. Holden, M. Kikoler, K. Bontcheva, R.
Dutta, A. Roberts. (2020) <b>Using Deep Neural Networks with Intra- and
Inter-Sentence Context to Classify Suicidal Behaviour.</b> In the 12th
International Conference on Language Resources and Evaluation, 2020</li>
</ul>
<ul>
@@ -444,6 +459,10 @@
<ul>
<li>Ye Jiang, Yimin Wang, Xingyi Song and Diana Maynard. <b>Comparing
Topic-Aware Neural Networks for Bias Detection of News.</b> Proc. of ECAI 2020,
Aug 29 - 2 Sep 2020, Santiago de Compostela, Spain.</li>
</ul>
+
+<ul>
+<li>N. Sanchan, K. Bontcheva, A. Aker (2020) <b>An Adoption of a Contradiction
Detection Task to Assist the Summarization of Online Debates</b> In 2020-5th
International Conference on Information Technology (InCIT) <a class="cow-url"
href="https://ieeexplore.ieee.org/abstract/document/9310941";>https://ieeexplore.ieee.org/abstract/document/9310941</a></li>
+</ul>
<h3 class="cow-heading">Preprints</h3>
<ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2025-06-19 13:41:24 UTC (rev 20435)
+++ gate/trunk/doc/papers.yam 2025-06-19 14:01:37 UTC (rev 20436)
@@ -201,7 +201,7 @@
%3* Journal papers
- M. van Erp, C. Reynolds, D. Maynard, A. Starke, R. Ibañez-Martín et al.
*Using Natural Language Processing and Artificial Intelligence to explore the
nutrition and sustainability of recipes and food.* Frontiers in Artificial
Intelligence 2021. doi: 10.3389/frai.2020.621577
%(https://www.frontiersin.org/articles/10.3389/frai.2020.621577/full, PDF)
-- X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard and K. Bontcheva.
*"Classification aware neural topic model for COVID-19 disinformation
categorisation."* PloS one 16, no. 2 (2021): e0247086.
+- X. Song, J. Petrak, Y. Jiang, I. Singh, D. Maynard and K. Bontcheva.
*"Classification aware neural topic model for COVID-19 disinformation
categorisation."* PloS one 16, no. 2 (2021): e0247086.
%(https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247086)
- N. Chilman, X. Song, A. Roberts, E. Tolani, R. Stewart, Z. Chui, K. Birnie
et al. *"Text mining occupations from the mental health electronic health
record: a natural language processing approach using records from the Clinical
Record Interactive Search (CRIS) platform in south London, UK."* BMJ open 11,
no. 3 (2021): e042274.
@@ -222,6 +222,17 @@
- R. Mitkov, G. Angelova (2021) *Proceedings of the International Conference
on Recent Advances in Natural Language Processing (RANLP 2021)* In Proceedings
of the International Conference on Recent Advances in Natural Language
Processing (RANLP 2021) %(https://aclanthology.org/2021.ranlp-1.0.pdf)
+- G. Rehm, S. Piperidis, K. Bontcheva, J. Hajic et al. (2021) *European
Language Grid: A Joint Platform for the European Language Technology Community*
In 6th Conference of the European Chapter of the Association for Computational
Linguistics pp 221-230
%(https://www.research.ed.ac.uk/en/publications/european-language-grid-a-joint-platform-for-the-european-language)
+
+%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)
+
+
%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)
@@ -231,28 +242,25 @@
- Christian Reynolds, Berill Takacs, Anastasiia Klimashevskaia, Aslaug
Angelsen, Rebeca Ibanez Martin, Steve Brewer, Marieke van Erp, Alain Starke,
Diana Maynard, Christoph Trattner. *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
%3* Journal papers
-- Diana Maynard, Benedetto Lepori, Johann Petrak, Xingyi Song, Philippe
Larédo. *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. *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)
-- Jackie Harrison, Diana Maynard and Sara Torsner. *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. *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)
-- Gorrell, G., Bakir, M. E., Roberts, I., Greenwood, M. A., & Bontcheva, K.
(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,
online version)
-- Mu, Yida, and Nikolaos Aletras. *"Identifying Twitter users who repost
unreliable news sources with linguistic information."* PeerJ Computer Science 6
(2020): e325.
+- Y. Mu, and N. Aletras. *"Identifying Twitter users who repost unreliable
news sources with linguistic information."* PeerJ Computer Science 6 (2020):
e325.
-- Tracie Farrell, Genevieve Gorrell and Kalina Bontcheva. *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. *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).
%3* Conference papers
-- Diana Maynard and Adam Funk. *Combining expert knowledge with NLP for
specialised applications.* Proc. of 23rd International Conference on Text,
Speech and Dialogue (TSD), Brno, Czech Republic, Sep 8-11, 2020.
%(https://link.springer.com/chapter/10.1007/978-3-030-58323-1_1, Springer link)
+- D. Maynard and A. Funk. *Combining expert knowledge with NLP for specialised
applications.* Proc. of 23rd International Conference on Text, Speech and
Dialogue (TSD), Brno, Czech Republic, Sep 8-11, 2020.
%(https://link.springer.com/chapter/10.1007/978-3-030-58323-1_1, Springer link)
-- Xingyi Song, Johnny Downs, Sumithra Velupillai, Rachel Holden, Maxim
Kikoler, Kalina Bontcheva, RinaDutta, Angus Roberts. Using Deep Neural Networks
with Intra- and Inter-Sentence Context to ClassifySuicidal Behaviour.In: The
12th International Conference on Language Resources and Evaluation, 2020
+- X. Song, J. Downs, S. Velupillai, R. Holden, M. Kikoler, K. Bontcheva, R.
Dutta, A. Roberts. (2020) *Using Deep Neural Networks with Intra- and
Inter-Sentence Context to Classify Suicidal Behaviour.* In the 12th
International Conference on Language Resources and Evaluation, 2020
- Jie Gao, Sooji Han, Xingyi Song and Fabio Ciravegna. *RP-DNN: A Tweet level
propagation context based deep neural networks for early rumor detection in
Social Media.* In:The 12th International Conference on Language Resources and
Evaluation, 2020
@@ -260,6 +268,8 @@
- Ye Jiang, Yimin Wang, Xingyi Song and Diana Maynard. *Comparing Topic-Aware
Neural Networks for Bias Detection of News.* Proc. of ECAI 2020, Aug 29 - 2 Sep
2020, Santiago de Compostela, Spain.
+- N. Sanchan, K. Bontcheva, A. Aker (2020) *An Adoption of a Contradiction
Detection Task to Assist the Summarization of Online Debates* In 2020-5th
International Conference on Information Technology (InCIT)
%(https://ieeexplore.ieee.org/abstract/document/9310941)
+
%3* Preprints
- Genevieve Gorrell, Tracie Farrell, and Kalina Bontcheva. *MP Twitter Abuse
in the Age of COVID-19:* White Paper. %(https://arxiv.org/abs/2006.08363)
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