1002 search results - page 30 / 201 » Unsupervised Relation Extraction From Web Documents |
AAAI
2008
13 years 11 months ago
2008
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
The purpose of extractive document summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a tar...
DKE
2007
13 years 9 months ago
2007
Ontology is playing an increasingly important role in knowledge management and the Semantic Web. This study presents a novel episode-based ontology construction mechanism to extra...
ACL
2004
13 years 10 months ago
2004
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...
DEXAW
2004
IEEE
14 years 24 days ago
2004
IEEE
Web documents present new challenges to conventional Information Retrieval (IR) technologies. This paper describes how these challenges are faced in FameIR, a multilingual multime...