Revision: 20222
http://sourceforge.net/p/gate/code/20222
Author: gate-project
Date: 2017-05-15 09:58:45 +0000 (Mon, 15 May 2017)
Log Message:
-----------
[diana] doi etc
Modified Paths:
--------------
gate/trunk/doc/papers.html
gate/trunk/doc/papers.yam
Modified: gate/trunk/doc/papers.html
===================================================================
--- gate/trunk/doc/papers.html 2017-05-11 17:14:54 UTC (rev 20221)
+++ gate/trunk/doc/papers.html 2017-05-15 09:58:45 UTC (rev 20222)
@@ -104,10 +104,8 @@
<a class="cow-section-anchor" name="section-1."></a><h1
class="cow-heading"><span class="cow-sec-number">1. </span>Books, Book
Chapters, Journals and Conference papers</h1>
<h2 class="cow-heading">Forthcoming / Accepted</h2>
-<ul>
-<li>Diana Maynard, Ian Roberts, Mark A. Greenwood, Dominic Rout and Kalina
Bontcheva. A Framework for Real-time Semantic Social Media Analysis. To appear
in Web Semantics: Science, Services and Agents on the World Wide Web, 2017. <a
class="cow-url" href="gate-social-media-jws2017.pdf">Pre-print</a></li>
-</ul>
+
<ul>
<li>Diana Maynard, Adam Funk and Benedetto Lepori. Towards an Infrastructure
for Understanding and Interlinking Knowledge Co-Creation in European research.
To appear in 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>
@@ -122,6 +120,10 @@
<h2 class="cow-heading">2017</h2>
<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";>DOI</a>
<a class="cow-url"
href="http://www.sciencedirect.com/science/article/pii/S1570826817300240";>PDF</a></li>
+</ul>
+
+<ul>
<li>L. Derczynski. Automatically Ordering Events and Times in Text. Studies in
Computational Intelligence 677. Springer. <a class="cow-url"
href="http://link.springer.com/book/10.1007/978-3-319-47241-6";>online
version</a></li>
</ul>
Modified: gate/trunk/doc/papers.yam
===================================================================
--- gate/trunk/doc/papers.yam 2017-05-11 17:14:54 UTC (rev 20221)
+++ gate/trunk/doc/papers.yam 2017-05-15 09:58:45 UTC (rev 20222)
@@ -47,8 +47,8 @@
%2* Forthcoming / Accepted
-- Diana Maynard, Ian Roberts, Mark A. Greenwood, Dominic Rout and Kalina
Bontcheva. A Framework for Real-time Semantic Social Media Analysis. To appear
in Web Semantics: Science, Services and Agents on the World Wide Web, 2017.
%(gate-social-media-jws2017.pdf, Pre-print)
+
- Diana Maynard, Adam Funk and Benedetto Lepori. Towards an Infrastructure for
Understanding and Interlinking Knowledge Co-Creation in European research. To
appear in ESWC 2017 Workshop on Scientometrics, Portoroz, Slovenia, May 2017.
%(http://gate.ac.uk/sale/2017/eswc2017/scientometrics/knowmake-ontologies.pdf,
PDF)
- 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.)
@@ -57,6 +57,8 @@
%2* 2017
+- 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, DOI)
%(http://www.sciencedirect.com/science/article/pii/S1570826817300240, 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)
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