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» Automatic Discovery of Attribute Words from Web Documents
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LREC
2010
177views Education» more  LREC 2010»
14 years 11 months ago
Automatic Discovery of Semantic Relations using MindNet
Information extraction deals with extracting entities (such as people,organizations or locations) and named relations between entities (such as "People born-in Country")...
Zareen Syed, Evelyne Viegas, Savas Parastatidis
ACL
2004
14 years 11 months ago
Discovering Relations among Named Entities from Large Corpora
Discovering the significant relations embedded in documents would be very useful not only for information retrieval but also for question answering and summarization. Prior method...
Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman
ENTCS
2006
116views more  ENTCS 2006»
14 years 9 months ago
How Recent is a Web Document?
One of the most important aspects of a Web document is its up-to-dateness or recency. Up-to-dateness is particularly relevant to Web documents because they usually contain content...
Bo Hu, Florian Lauck, Jan Scheffczyk
LREC
2008
105views Education» more  LREC 2008»
14 years 11 months ago
Local Methods for On-Demand Out-of-Vocabulary Word Retrieval
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
JBI
2002
105views Bioinformatics» more  JBI 2002»
14 years 9 months ago
Information extraction for enhanced access to disease outbreak reports
Document search is generally based on individual terms in the document. However, for collections within limited domains it is possible to provide more powerful access tools. This ...
Ralph Grishman, Silja Huttunen, Roman Yangarber