Syntactic contexts for finding semantically related words

by Lonneke Van Der Plas , Gosse Bouma

Venue:	In CLIN
Citations:	1 - 0 self

Datum	Value	Source
TITLE	Syntactic contexts for finding semantically related words	INFERENCE
AUTHOR NAME	Lonneke Van Der Plas	SVM HeaderParse 0.2
AUTHOR AFFIL	Humanities Computing, University of Groningen	SVM HeaderParse 0.2
AUTHOR NAME	Gosse Bouma	SVM HeaderParse 0.2
AUTHOR AFFIL	Humanities Computing, University of Groningen	SVM HeaderParse 0.2
ABSTRACT	Finding semantically related words is a first step in the direction of automatic ontology building. Guided by the view that similar words occur in similar contexts, we looked at the syntactic context of words to measure their semantic similarity. Words that occur in a direct object relation with the verb drink, for instance, have something in common (liquidity,...). Co-occurrence data for common nouns and proper names, for several syntactic relations, was collected from an automatically parsed corpus of 78 million words of newspaper text. We used several vector-based methods to compute the distributional similarity between words. Using Dutch EuroWordNet as evaluation standard, we investigated which vector-based method and which combination of syntactic relations is the strongest predictor of semantic similarity. 1	SVM HeaderParse 0.2
VENUE	In CLIN	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	173--186	INFERENCE
CITATIONS	23 found	ParsCit 1.0