January 07, 2013 | BY Galia Angelova
Event Dates:
9 Sep 2013 to 11 Sep 2013
Contact:
Ruslan Mitkov
Galia Angelova
Second Call for Papers
RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING (RANLP-2013)
Augusta SPA Hotel, Hissar, Bulgaria
http://www.lml.bas.bg/ranlp2013
Tutorials: September 7-8, 2013 (Saturday-Sunday)
Main Conference: September 9-11, 2013 (Monday-Wednesday)
Workshops: September 12-13, 2013 (Thursday-Friday)
September 06, 2012 | BY ajaynagesh
Contact:
Ganesh Ramakrishnan
Ajay Nagesh
Workshop on Information Extraction & Entity Analytics on Social Media Data
9th December 2012, Indian Institute of Technology Bombay, Mumbai, India
(collocated with 24th International Conference on Computational Linguistics - COLING 2012)
https://sites.google.com/site/coling12iesocialmedia/
September 04, 2012 | BY Stephen Wu
The first Computational Semantics in Clinical Text (CSCT) workshop is a forum for the exploration and application of medically-oriented computational semantics. Clinical text has unique semantic and pragmatic characteristics -- prototypically describing a physician-patient encounter with entities and events in the real world. Furthermore, large-scale semantic resources (e.g., UMLS Metathesaurus) are well-developed and frequently used, text corpora are increasingly available (e.g., i2b2 NLP Challenge data), and the possibility of tangible medical benefit is of broad interest.
March 30, 2012 | BY jamesfan
Contact:
jfan.us@gmail.com
cawelty@gmail.com
adityak@gmail.com
IJSWIS Special Issue on Web-Scale Knowledge Extraction
Guest Editors: Aditya Kalyanpur, James Fan, Chris Welty
January 30, 2012 | BY Diana Inkpen
Contact:
Diana Inkpen
Atefeh Farzindar
July 19, 2011 | BY jamesfan
Event Dates:
23 Oct 2011 to 27 Oct 2011
Contact:
James Fan
Aditya Kalyanpur
Recently, there has been a significant amount of interest in automatically creating large-scale knowledge bases from unstructured text. Compared to traditional, manually created representations, these knowledge bases have the advantage of scale and coverage. They often contain tens of millions of propositions, represented using a variety of encodings, from simple binary assertions to more complicated frame-like structures, and are extracted by parsing and analyzing large text corpora.
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