Revision: 20246
http://sourceforge.net/p/gate/code/20246
Author: gate-project
Date: 2017-06-27 21:25:55 +0000 (Tue, 27 Jun 2017)
Log Message:
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[kalina] Edited with GATEWiki
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 2017-06-27 21:24:07 UTC (rev 20245)
+++ gate/trunk/doc/papers.html 2017-06-27 21:25:55 UTC (rev 20246)
@@ -196,11 +196,11 @@
<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>
+<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-url"
href="http://staffwww.dcs.shef.ac.uk/people/M.Lukasik/pubs/emnlp2015_1.pdf">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>
+<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. <a
class="cow-url"
href="http://www.emnlp2015.org/proceedings/EMNLP/pdf/EMNLP028.pdf">PDF</a></li>
</ul>
<ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2017-06-27 21:24:07 UTC (rev 20245)
+++ gate/trunk/doc/papers.yam 2017-06-27 21:25:55 UTC (rev 20246)
@@ -99,9 +99,9 @@
%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, 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.
%(http://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, 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.
%(http://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)
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