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» Identifying Relations for Open Information Extraction
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LREC
2008
150views Education» more  LREC 2008»
14 years 11 months ago
Causal Relation Extraction
This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation an...
Eduardo Blanco, Núria Castell, Dan I. Moldo...
ACL
2007
14 years 11 months ago
Extracting Word Sets with Non-Taxonomical Relation
At least two kinds of relations exist among related words: taxonomical relations and thematic relations. Both relations identify related words useful to language understanding and...
Eiko Yamamoto, Hitoshi Isahara
AIRS
2010
Springer
14 years 7 months ago
Semantic Relation Extraction Based on Semi-supervised Learning
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views--disjoint subsets of features. Specifically, a ...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
IJCAI
2003
14 years 11 months ago
Concept Linking for Information Integration in Open Book and Sentinel
Opening up large amounts of loosely structured information for easy access and use is a complex problem. This paper describes two systems that address different aspects of the pro...
Stuart Watt
NAACL
2007
14 years 11 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