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» URES : an Unsupervised Web Relation Extraction System
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ACL
2006
13 years 6 months ago
URES : an Unsupervised Web Relation Extraction System
Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
Binyamin Rosenfeld, Ronen Feldman
EMNLP
2006
13 years 6 months ago
Boosting Unsupervised Relation Extraction by Using NER
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
Ronen Feldman, Benjamin Rosenfeld
WWW
2010
ACM
13 years 11 months ago
Relational duality: unsupervised extraction of semantic relations between entities on the web
Extracting semantic relations among entities is an important first step in various tasks in Web mining and natural language processing such as information extraction, relation de...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
LREC
2008
140views Education» more  LREC 2008»
13 years 6 months ago
Unsupervised Relation Extraction From Web Documents
The IDEX system is a prototype of an interactive dynamic Information Extraction (IE) system. A user of the system expresses an information request in the form of a topic descripti...
Kathrin Eichler, Holmer Hemsen, Günter Neuman...
NAACL
2007
13 years 6 months ago
Unsupervised Resolution of Objects and Relations on the Web
The task of identifying synonymous relations and objects, or Synonym Resolution (SR), is critical for high-quality information extraction. The bulk of previous SR work assumed str...
Alexander Yates, Oren Etzioni