Revision: 20244
http://sourceforge.net/p/gate/code/20244
Author: gate-project
Date: 2017-06-27 21:22:48 +0000 (Tue, 27 Jun 2017)
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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 2017-06-26 17:09:48 UTC (rev 20243)
+++ gate/trunk/doc/papers.html 2017-06-27 21:22:48 UTC (rev 20244)
@@ -105,20 +105,21 @@
<h2 class="cow-heading">Forthcoming / Accepted</h2>
<ul>
-<li>V. Tablan, K. Bontcheva, I. Roberts, and H. Cunningham. Mímir: An
open-source semantic search framework for interactive information seeking and
discovery. Journal of Web Semantics: Science, Services and Agents on the World
Wide Web, 2014. <a class="cow-url"
href="http://dx.doi.org/10.1016/j.websem.2014.10.002";>doi:10.1016/j.websem.2014.10.002</a>
<span class="cow-footnote" name="footnote1"><sup><a
href="#footnote1">1</a></sup></span></li>
+<li>K. Bontcheva, L. Derczynski, I. Roberts. Crowdsourcing Named Entity
Recognition and Entity Linking Corpora. In Nancy Ide and James Pustejovsky,
eds.: The Handbook of Linguistic Annotation.</li>
</ul>
+<h2 class="cow-heading">2017</h2>
+
<ul>
-<li>K. Bontcheva, L. Derczynski, I. Roberts. Crowdsourcing Named Entity
Recognition and Entity Linking Corpora. In Nancy Ide and James Pustejovsky,
eds.: The Handbook of Linguistic Annotation.</li>
+<li>Diana Maynard, Ian Roberts, Mark A. Greenwood, Dominic Rout and Kalina
Bontcheva. A Framework for Real-time Semantic Social Media Analysis. Web
Semantics: Science, Services and Agents on the World Wide Web, 2017 (in press).
<a class="cow-url" href="https://doi.org/10.1016/j.websem.2017.05.002";><a
class="cow-url"
href="https://doi.org/10.1016/j.websem.2017.05.002";>https://doi.org/10.1016/j.websem.2017.05.002</a>,</a>
<a class="cow-url"
href="http://www.sciencedirect.com/science/article/pii/S1570826817300240";>pre-print</a></li>
</ul>
-<h2 class="cow-heading">2017</h2>
<ul>
-<li>Diana Maynard, Adam Funk and Benedetto Lepori. Towards an Infrastructure
for Understanding and Interlinking Knowledge Co-Creation in European research.
ESWC 2017 Workshop on Scientometrics, Portoroz, Slovenia, May 2017. <a
class="cow-url"
href="http://gate.ac.uk/sale/2017/eswc2017/scientometrics/knowmake-ontologies.pdf";>PDF</a></li>
+<li>P.K. Srijith, M. Lukasik, K. Bontcheva and T. Cohn. Longitudinal Modeling
of Social Media with Hawkes Process based on Users and Networks. In The
IEEE/ACM International Conference on Social Networks Analysis and Mining,
ASONAM, 2017.</li>
</ul>
<ul>
-<li>Diana Maynard, Ian Roberts, Mark A. Greenwood, Dominic Rout and Kalina
Bontcheva. A Framework for Real-time Semantic Social Media Analysis. Web
Semantics: Science, Services and Agents on the World Wide Web, 2017 (in press).
<a class="cow-url" href="https://doi.org/10.1016/j.websem.2017.05.002";><a
class="cow-url"
href="https://doi.org/10.1016/j.websem.2017.05.002";>https://doi.org/10.1016/j.websem.2017.05.002</a>,</a>
<a class="cow-url"
href="http://www.sciencedirect.com/science/article/pii/S1570826817300240";>pre-print</a></li>
+<li>D. Maynard, A. Funk and B. Lepori. Towards an Infrastructure for
Understanding and Interlinking Knowledge Co-Creation in European research. ESWC
2017 Workshop on Scientometrics, Portoroz, Slovenia, May 2017. <a
class="cow-url"
href="http://gate.ac.uk/sale/2017/eswc2017/scientometrics/knowmake-ontologies.pdf";>PDF</a></li>
</ul>
<ul>
@@ -126,17 +127,17 @@
</ul>
<ul>
-<li>Isabelle Augenstein, Leon Derczynski, Kalina Bontcheva. 2017.
Generalisation in Named Entity Recognition: A Quantitative Analysis. In
Computer Speech and Language, Elsevier. <a class="cow-url"
href="https://arxiv.org/pdf/1701.02877v1.pdf";>PDF</a></li>
+<li>I. Augenstein, L. Derczynski, K. Bontcheva. 2017. Generalisation in Named
Entity Recognition: A Quantitative Analysis. In Computer Speech and Language,
Elsevier. <a class="cow-url"
href="https://arxiv.org/pdf/1701.02877v1.pdf";>PDF</a></li>
</ul>
<ul>
-<li>Leon Derczynski, Kalina Bontcheva, Maria Liakata, Rob Procter, Geraldine
Wong Sak Hoi, Arkaitz Zubiaga. 2017. SemEval-2017 Task 8: RumourEval:
Determining rumour veracity and support for rumours. In 10th International
Workshop on Semantic Evaluation (SemEval 2017), ACL. <a class="cow-url"
href="http://www.derczynski.com/sheffield/papers/rumoureval-task.pdf";>PDF</a></li>
+<li>L. Derczynski, K. Bontcheva, M. Liakata, R. Procter, G. Wong Sak Hoi, A.
Zubiaga. 2017. SemEval-2017 Task 8: RumourEval: Determining rumour veracity and
support for rumours. In 10th International Workshop on Semantic Evaluation
(SemEval 2017), ACL. <a class="cow-url"
href="http://www.derczynski.com/sheffield/papers/rumoureval-task.pdf";>PDF</a></li>
</ul>
<h2 class="cow-heading">2016</h2>
<ul>
-<li>Diana Maynard, Kalina Bontcheva, Isabelle Augenstein. Natural Language
Processing for the Semantic Web. Morgan and Claypool, December 2016. ISBN:
9781627059091 <a class="cow-url"
href="http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?cPath=22&products_id=1009&osCsid=le7c1fi17uo88v0j8eco2emtu4";>Morgan
and Claypool link</a></li>
+<li>D. Maynard, K. Bontcheva, I. Augenstein. Natural Language Processing for
the Semantic Web. Morgan and Claypool, December 2016. ISBN: 9781627059091 <a
class="cow-url"
href="http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?cPath=22&products_id=1009&osCsid=le7c1fi17uo88v0j8eco2emtu4";>Morgan
and Claypool link</a></li>
</ul>
<ul>
@@ -144,6 +145,14 @@
</ul>
<ul>
+<li>M. Lukasik, P. K. Srijith, D. Vu, K. Bontcheva, A. Zubiaga, T. Cohn.
Hawkes Processes for Continuous Time Sequence Classification an Application to
Rumour Stance Classification in Twitter. In Proceedings of the 54th annual
meeting of the Association for Computational Linguistics, ACL, 2016. <a
class="cow-non-existant-url"
href="people.eng.unimelb.edu.au/tcohn/papers/lukasik16acl.pdf?m=1">PDF</a></li>
+</ul>
+
+<ul>
+<li>A. Zubiaga, E. Kochkina, M. Liakata, R. Procter, M. Lukasik.. Stance
classification in Rumours as a Sequential Task Exploiting the Tree Structure of
Social Media Conversations. In 26th International Conference on Computational
Linguistics, COLING, 2016. <a class="cow-url"
href="https://arxiv.org/abs/1609.09028";>PDF</a></li>
+</ul>
+
+<ul>
<li>L. Derczynski. Representation and Learning of Temporal Relations. In Proc.
of the Int'l Conference on Computational Linguistics (COLING). <a
class="cow-url"
href="http://www.derczynski.com/sheffield/papers/temp-reltype-repr.pdf";>PDF</a></li>
</ul>
@@ -187,6 +196,18 @@
<h2 class="cow-heading">2015</h2>
<ul>
+<li>M. Lukasik, T. Cohn and K. Bontcheva. Classifying Tweet Level Judgements
of Rumours in Social Media. In Proceedings of Empirical Methods of Natural
Language Processing, EMNLP, 2015. <a class="cow-non-existant-url"
href="staffwww.dcs.shef.ac.uk/people/M.Lukasik/pubs/emnlp2015_1.pdf?m=1">PDF</a></li>
+</ul>
+
+<ul>
+<li>M. Lukasik, S. Prabhakaran Nair Kusumam, T. Cohn, and K. Bontcheva..
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. In Proceedings
of Empirical Methods of Natural Language Processing, EMNLP, 2015. %
(www.emnlp2015.org/proceedings/EMNLP/pdf/EMNLP028.pdf, PDF)</li>
+</ul>
+
+<ul>
+<li>M. Lukasik, T. Cohn, K. Bontcheva. Point process modelling of rumour
dynamics in social media. In Proceedings of the 53rd annual meeting of the
Association for Computational Linguistics, ACL, 2015. <a class="cow-url"
href="http://www.aclweb.org/anthology/P15-2085";>PDF</a></li>
+</ul>
+
+<ul>
<li>D. Maynard and K. Bontcheva. Understanding climate change tweets: an open
source toolkit for social media analysis. In Proc. of EnviroInfo 2015,
Copenhagen, Sep. 2015. <a class="cow-url"
href="https://gate.ac.uk/sale/enviroinfo2015/decarbonet.pdf";>PDF</a> </li>
</ul>
@@ -1197,13 +1218,4 @@
</ul>
<a class="cow-section-anchor" name="section-4."></a><h1
class="cow-heading"><span class="cow-sec-number">4. </span>Our BibTeX file.</h1>
-<p><a class="cow-url" href="gate.bib">Download here.</a></p><span
class="cow-footnote-section">
-<h1 class="cow-heading">Footnotes</h1>
-<p><ol>
-<li>
-<a class="cow-footnote-anchor" name="footnote1"></a>
-<span class="cow-footnote-text" name="footnote1">Published online but not yet
assigned to a specific volume and issue.</span>
-</li>
-</ol></p>
-</span>
-</body></html>
+<p><a class="cow-url" href="gate.bib">Download here.</a></p></body></html>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2017-06-26 17:09:48 UTC (rev 20243)
+++ gate/trunk/doc/papers.yam 2017-06-27 21:22:48 UTC (rev 20244)
@@ -47,29 +47,34 @@
%2* Forthcoming / Accepted
-- V. Tablan, K. Bontcheva, I. Roberts, and H. Cunningham. MÃmir: An
open-source semantic search framework for interactive information seeking and
discovery. Journal of Web Semantics: Science, Services and Agents on the World
Wide Web, 2014. %(http://dx.doi.org/10.1016/j.websem.2014.10.002,
doi:10.1016/j.websem.2014.10.002) %footnote(Published online but not yet
assigned to a specific volume and issue.)
-
- K. Bontcheva, L. Derczynski, I. Roberts. Crowdsourcing Named Entity
Recognition and Entity Linking Corpora. In Nancy Ide and James Pustejovsky,
eds.: The Handbook of Linguistic Annotation.
%2* 2017
-- Diana Maynard, Adam Funk and Benedetto Lepori. Towards an Infrastructure for
Understanding and Interlinking Knowledge Co-Creation in European research. ESWC
2017 Workshop on Scientometrics, Portoroz, Slovenia, May 2017.
%(http://gate.ac.uk/sale/2017/eswc2017/scientometrics/knowmake-ontologies.pdf,
PDF)
- Diana Maynard, Ian Roberts, Mark A. Greenwood, Dominic Rout and Kalina
Bontcheva. A Framework for Real-time Semantic Social Media Analysis. Web
Semantics: Science, Services and Agents on the World Wide Web, 2017 (in press).
%(https://doi.org/10.1016/j.websem.2017.05.002,
https://doi.org/10.1016/j.websem.2017.05.002,)
%(http://www.sciencedirect.com/science/article/pii/S1570826817300240, pre-print)
+- P.K. Srijith, M. Lukasik, K. Bontcheva and T. Cohn. Longitudinal Modeling of
Social Media with Hawkes Process based on Users and Networks. In The IEEE/ACM
International Conference on Social Networks Analysis and Mining, ASONAM, 2017.
+
+- D. Maynard, A. Funk and B. Lepori. Towards an Infrastructure for
Understanding and Interlinking Knowledge Co-Creation in European research. ESWC
2017 Workshop on Scientometrics, Portoroz, Slovenia, May 2017.
%(http://gate.ac.uk/sale/2017/eswc2017/scientometrics/knowmake-ontologies.pdf,
PDF)
+
- L. Derczynski. Automatically Ordering Events and Times in Text. Studies in
Computational Intelligence 677. Springer.
%(http://link.springer.com/book/10.1007/978-3-319-47241-6, online version)
-- Isabelle Augenstein, Leon Derczynski, Kalina Bontcheva. 2017. Generalisation
in Named Entity Recognition: A Quantitative Analysis. In Computer Speech and
Language, Elsevier. %(https://arxiv.org/pdf/1701.02877v1.pdf, PDF)
+- I. Augenstein, L. Derczynski, K. Bontcheva. 2017. Generalisation in Named
Entity Recognition: A Quantitative Analysis. In Computer Speech and Language,
Elsevier. %(https://arxiv.org/pdf/1701.02877v1.pdf, PDF)
-- Leon Derczynski, Kalina Bontcheva, Maria Liakata, Rob Procter, Geraldine
Wong Sak Hoi, Arkaitz Zubiaga. 2017. SemEval-2017 Task 8: RumourEval:
Determining rumour veracity and support for rumours. In 10th International
Workshop on Semantic Evaluation (SemEval 2017), ACL.
%(http://www.derczynski.com/sheffield/papers/rumoureval-task.pdf, PDF)
+- L. Derczynski, K. Bontcheva, M. Liakata, R. Procter, G. Wong Sak Hoi, A.
Zubiaga. 2017. SemEval-2017 Task 8: RumourEval: Determining rumour veracity and
support for rumours. In 10th International Workshop on Semantic Evaluation
(SemEval 2017), ACL.
%(http://www.derczynski.com/sheffield/papers/rumoureval-task.pdf, PDF)
%2* 2016
-- Diana Maynard, Kalina Bontcheva, Isabelle Augenstein. Natural Language
Processing for the Semantic Web. Morgan and Claypool, December 2016. ISBN:
9781627059091
%(http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?cPath=22&products_id=1009&osCsid=le7c1fi17uo88v0j8eco2emtu4,
Morgan and Claypool link)
+- D. Maynard, K. Bontcheva, I. Augenstein. Natural Language Processing for the
Semantic Web. Morgan and Claypool, December 2016. ISBN: 9781627059091
%(http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?cPath=22&products_id=1009&osCsid=le7c1fi17uo88v0j8eco2emtu4,
Morgan and Claypool link)
- L. Derczynski, K. Bontcheva, I. Roberts. Broad Twitter Corpus: A Diverse
Named Entity Recognition Resource. In Proc. of the Int'l Conference on
Computational Linguistics (COLING).
%(http://www.derczynski.com/sheffield/papers/btc.pdf, PDF)
+- M. Lukasik, P. K. Srijith, D. Vu, K. Bontcheva, A. Zubiaga, T. Cohn. Hawkes
Processes for Continuous Time Sequence Classification an Application to Rumour
Stance Classification in Twitter. In Proceedings of the 54th annual meeting of
the Association for Computational Linguistics, ACL, 2016.
%(people.eng.unimelb.edu.au/tcohn/papers/lukasik16acl.pdf, PDF)
+
+- A. Zubiaga, E. Kochkina, M. Liakata, R. Procter, M. Lukasik.. Stance
classification in Rumours as a Sequential Task Exploiting the Tree Structure of
Social Media Conversations. In 26th International Conference on Computational
Linguistics, COLING, 2016. %(https://arxiv.org/abs/1609.09028, PDF)
+
- L. Derczynski. Representation and Learning of Temporal Relations. In Proc.
of the Int'l Conference on Computational Linguistics (COLING).
%(http://www.derczynski.com/sheffield/papers/temp-reltype-repr.pdf, PDF)
- Anna Kolliakou, Michael Ball, Leon Derczynski, David Chandran, George
Gkotsis, Paolo Deluca, Richard Jackson, Hitesh Shetty, Robert Stewart. Novel
psychoactive substances: an investigation of temporal trends in social media
and electronic health records. European Psychiatry.
@@ -94,6 +99,12 @@
%2* 2015
+- M. Lukasik, T. Cohn and K. Bontcheva. Classifying Tweet Level Judgements of
Rumours in Social Media. In Proceedings of Empirical Methods of Natural
Language Processing, EMNLP, 2015.
%(staffwww.dcs.shef.ac.uk/people/M.Lukasik/pubs/emnlp2015_1.pdf, PDF)
+
+- M. Lukasik, S. Prabhakaran Nair Kusumam, T. Cohn, and K. Bontcheva..
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. In Proceedings
of Empirical Methods of Natural Language Processing, EMNLP, 2015. %
(www.emnlp2015.org/proceedings/EMNLP/pdf/EMNLP028.pdf, PDF)
+
+- M. Lukasik, T. Cohn, K. Bontcheva. Point process modelling of rumour
dynamics in social media. In Proceedings of the 53rd annual meeting of the
Association for Computational Linguistics, ACL, 2015.
%(http://www.aclweb.org/anthology/P15-2085, PDF)
+
- D. Maynard and K. Bontcheva. Understanding climate change tweets: an open
source toolkit for social media analysis. In Proc. of EnviroInfo 2015,
Copenhagen, Sep. 2015. %(https://gate.ac.uk/sale/enviroinfo2015/decarbonet.pdf,
PDF)
- Diana Maynard and Jonathon Hare. Entity-based Opinion Mining from Text and
Multimedia. In "Advances in Social Media Analysis", Mohamed Gaber, Nirmalie
Wiratunga, Ayse Goker, and Mihaela Cocea (eds.) 2015, Springer.
%(http://www.springer.com/gb/book/9783319184579, Springer link).
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