Paper Info
Title
Learning to Identify Definitions using Syntactic Features
Abstract
This paper describes an approach to learn- ing concept definitions which operates on fully parsed text. A subcorpus of the Dutch version of Wikipedia was searched for sentences which have the syntactic properties of definitions. Next, we ex- perimented with various text classifica- tion techniques to distinguish actual defi- nitions from other sentences. A maximum entropy classifier which incorporates fea- tures referring to the position of the sen- tence in the document as well as various syntactic features, gives the best results.
Year
Venue
Keywords
2006
Learning Structured Information@EACL
maximum entropy
DocType
Citations 
PageRank 
Conference
20
1.08
References 
Authors
14
2
Name
Order
Citations
PageRank
Ismail Fahmi1835.41
Gosse Bouma248370.88