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Posted to commits@uima.apache.org by tw...@apache.org on 2007/03/02 15:59:57 UTC
svn commit: r513795 - in /incubator/uima/site/trunk/uima-website:
docs/gldv07.html xdocs/gldv07.xml
Author: twgoetz
Date: Fri Mar 2 06:59:56 2007
New Revision: 513795
URL: http://svn.apache.org/viewvc?view=rev&rev=513795
Log:
No Jira: update GLDV conference page.
Modified:
incubator/uima/site/trunk/uima-website/docs/gldv07.html
incubator/uima/site/trunk/uima-website/xdocs/gldv07.xml
Modified: incubator/uima/site/trunk/uima-website/docs/gldv07.html
URL: http://svn.apache.org/viewvc/incubator/uima/site/trunk/uima-website/docs/gldv07.html?view=diff&rev=513795&r1=513794&r2=513795
==============================================================================
--- incubator/uima/site/trunk/uima-website/docs/gldv07.html (original)
+++ incubator/uima/site/trunk/uima-website/docs/gldv07.html Fri Mar 2 06:59:56 2007
@@ -183,7 +183,7 @@
<li><strong>Gnjatovic et al.</strong>: <a href="./downloads/gldv/gldv07-uima-gnjatovic.pdf">Processing dialogue-based data in the UIMA framework</a> <strong>[confirmed]</strong></li>
<li><strong>Kaiser & Zavrel</strong>: A new UIMA Annotator: the Textkernel Information Extraction Engine <strong>[not confirmed]</strong></li>
<li><strong>Gurevych et al.</strong>: <a href="./downloads/gldv/gldv07-uima-gurevych2.pdf">Teaching "Unstructured Information Management: Theory and Applications" to Computational Linguistics Students</a> <strong>[confirmed]</strong></li>
-<li><strong>Netter & Meyer</strong>: ICE - Intelligent Content Engineering <strong>[not confirmed]</strong></li>
+<li><strong>Netter & Meyer</strong>: <a href="./downloads/gldv/gldv07-uima-netter.doc">ICE - Intelligent Content Engineering</a> <strong>[confirmed]</strong></li>
<li><strong>Tomanek et al.</strong>: <a href="./downloads/gldv/gldv07-uima-tomanek.pdf">An UIMA-Based Tool Suite for Semantic Text Processing</a> <strong>[confirmed]</strong></li>
<li><strong>Blohm et al.</strong>: <a href="./downloads/gldv/gldv07-uima-blohm.pdf">Iterative Learning of Relation Patterns for Market Analysis with UIMA</a> <strong>[confirmed]</strong></li>
<li><strong>Hahn et al.</strong>: <a href="./downloads/gldv/gldv07-uima-hahn.pdf">An UIMA Annotation Type System for a Generic Text Mining Architecture</a> <strong>[confirmed]</strong></li>
Modified: incubator/uima/site/trunk/uima-website/xdocs/gldv07.xml
URL: http://svn.apache.org/viewvc/incubator/uima/site/trunk/uima-website/xdocs/gldv07.xml?view=diff&rev=513795&r1=513794&r2=513795
==============================================================================
--- incubator/uima/site/trunk/uima-website/xdocs/gldv07.xml (original)
+++ incubator/uima/site/trunk/uima-website/xdocs/gldv07.xml Fri Mar 2 06:59:56 2007
@@ -60,7 +60,7 @@
<li><strong>Gnjatovic et al.</strong>: <a href="./downloads/gldv/gldv07-uima-gnjatovic.pdf">Processing dialogue-based data in the UIMA framework</a> <strong>[confirmed]</strong></li>
<li><strong>Kaiser & Zavrel</strong>: A new UIMA Annotator: the Textkernel Information Extraction Engine <strong>[not confirmed]</strong></li>
<li><strong>Gurevych et al.</strong>: <a href="./downloads/gldv/gldv07-uima-gurevych2.pdf">Teaching "Unstructured Information Management: Theory and Applications" to Computational Linguistics Students</a> <strong>[confirmed]</strong></li>
-<li><strong>Netter & Meyer</strong>: ICE - Intelligent Content Engineering <strong>[not confirmed]</strong></li>
+<li><strong>Netter & Meyer</strong>: <a href="./downloads/gldv/gldv07-uima-netter.doc">ICE - Intelligent Content Engineering</a> <strong>[confirmed]</strong></li>
<li><strong>Tomanek et al.</strong>: <a href="./downloads/gldv/gldv07-uima-tomanek.pdf">An UIMA-Based Tool Suite for Semantic Text Processing</a> <strong>[confirmed]</strong></li>
<li><strong>Blohm et al.</strong>: <a href="./downloads/gldv/gldv07-uima-blohm.pdf">Iterative Learning of Relation Patterns for Market Analysis with UIMA</a> <strong>[confirmed]</strong></li>
<li><strong>Hahn et al.</strong>: <a href="./downloads/gldv/gldv07-uima-hahn.pdf">An UIMA Annotation Type System for a Generic Text Mining Architecture</a> <strong>[confirmed]</strong></li>