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» Identifying Relations for Open Information Extraction
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LREC
2008
150views Education» more  LREC 2008»
13 years 8 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
13 years 8 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
13 years 4 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
13 years 8 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
13 years 8 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