Revision: 16755
http://sourceforge.net/p/gate/code/16755
Author: gate-project
Date: 2013-07-30 10:58:54 +0000 (Tue, 30 Jul 2013)
Log Message:
-----------
[leon] add named timex paper
Modified Paths:
--------------
gate/trunk/doc/papers.html
gate/trunk/doc/papers.yam
Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html 2013-07-29 11:42:09 UTC (rev 16754)
+++ gate/trunk/doc/papers.html 2013-07-30 10:58:54 UTC (rev 16755)
@@ -104,10 +104,6 @@
<h2 class="cow-heading">Forthcoming</h2>
<ul>
-<li>M. Brucato, L. Derczynski, H. Llorens, K. Bontcheva, C.S. Jensen.
Recognising and Interpreting Named Temporal Expressions. Proceedings of the
International Conference on Recent Advances in Natural Language Processing
(RANLP 2013).</li>
-</ul>
-
-<ul>
<li>T. Risse, W. Peters, P. Senellart, D. Maynard. Documenting Contemporary
Society by Preserving Relevant Information from Twitter. In 'Twitter and
Society', edited by K. Weller, A. Bruns, J. Burgess, M. Mahrt and C. Puschmann.
In Press.</li>
</ul>
@@ -122,6 +118,10 @@
</ul>
<ul>
+<li>M. Brucato, L. Derczynski, H. Llorens, K. Bontcheva, C.S. Jensen.
Recognising and Interpreting Named Temporal Expressions. Proceedings of the
International Conference on Recent Advances in Natural Language Processing
(RANLP 2013). <a class="cow-url"
href="http://derczynski.com/sheffield/papers/named_timex.pdf";>PDF</a></li>
+</ul>
+
+<ul>
<li>L. Derczynski, A. Ritter, S. Clark, K. Bontcheva. Twitter Part-of-Speech
Tagging for All: Overcoming Sparse and Noisy Data. Proceedings of the
International Conference on Recent Advances in Natural Language Processing
(RANLP 2013). <a class="cow-url"
href="https://gate.ac.uk/sale/ranlp2013/twitter_pos/twitter_pos.pdf";>PDF</a>,
<a class="cow-url"
href="https://gate.ac.uk/wiki/twitter-postagger.html";>Download the POS
tagger</a></li>
</ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2013-07-29 11:42:09 UTC (rev 16754)
+++ gate/trunk/doc/papers.yam 2013-07-30 10:58:54 UTC (rev 16755)
@@ -46,8 +46,6 @@
%2* Forthcoming
-- M. Brucato, L. Derczynski, H. Llorens, K. Bontcheva, C.S. Jensen.
Recognising and Interpreting Named Temporal Expressions. Proceedings of the
International Conference on Recent Advances in Natural Language Processing
(RANLP 2013).
-
- T. Risse, W. Peters, P. Senellart, D. Maynard. Documenting Contemporary
Society by Preserving Relevant Information from Twitter. In 'Twitter and
Society', edited by K. Weller, A. Bruns, J. Burgess, M. Mahrt and C. Puschmann.
In Press.
- D. Maynard, K. Bontcheva. Natural Language Processing. In J. Lehmann and J.
Voelker editors, Perspectives of Ontology Learning. IOS Press.
@@ -57,6 +55,8 @@
- K. Bontcheva, L. Derczynski, A. Funk, M.A. Greenwood, D. Maynard, N. Aswani.
TwitIE: An Open-Source Information Extraction Pipeline for Microblog Text.
Proceedings of the International Conference on Recent Advances in Natural
Language Processing (RANLP 2013).
%(https://gate.ac.uk/sale/ranlp2013/twitie/twitie-ranlp2013.pdf, PDF),
%(https://gate.ac.uk/wiki/twitie.html, Download TwitIE)
+- M. Brucato, L. Derczynski, H. Llorens, K. Bontcheva, C.S. Jensen.
Recognising and Interpreting Named Temporal Expressions. Proceedings of the
International Conference on Recent Advances in Natural Language Processing
(RANLP 2013). %(http://derczynski.com/sheffield/papers/named_timex.pdf,PDF)
+
- L. Derczynski, A. Ritter, S. Clark, K. Bontcheva. Twitter Part-of-Speech
Tagging for All: Overcoming Sparse and Noisy Data. Proceedings of the
International Conference on Recent Advances in Natural Language Processing
(RANLP 2013).
%(https://gate.ac.uk/sale/ranlp2013/twitter_pos/twitter_pos.pdf,PDF),
%(https://gate.ac.uk/wiki/twitter-postagger.html, Download the POS tagger)
- L. Derczynski, K. Bontcheva. Mining Social Media with Linked Open Data,
Entity Recognition, and Event Extraction. Third Workshop on Data Extraction and
Object Search (DEOS 2013).
%(http://www.slideshare.net/leonderczynski/mining-social-media-with-linked-open-data-entity-recognition-and-event-extraction,slides)
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