Paper: Representing Semantics of Texts - a Non-Statistical Approach

ACL ID I05-2036
Title Representing Semantics of Texts - a Non-Statistical Approach
Venue International Joint Conference on Natural Language Processing
Session poster-demo-tutorial
Year 2005
Authors

This paper describes a non-statistical approach for semantic annotation of documents by analysing their syntax and by using semantic/syntactic behav- iour patterns described in VerbNet. We use a two-stage approach, firstly iden- tifying the semantic roles in a sen- tence, and then using these roles to rep- resent some of the relations between the concepts in the sentence and a list of noun behaviour patterns to resolve some of the unknown (generic) rela- tions between concepts. All outlined algorithms were tested on two corpora which differs in size, type, style and genre, and the performance does not vary significantly.