Empirical measurements of lexical similarity in noun phrase conjuncts

Authors:
Deirdre Hogan
Affiliations:
Trinity College Dublin, Dublin, Ireland
Venue:
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
Year:
2007

Citing 8
Cited 3

An Information-Theoretic Definition of Similarity

ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Automatic word sense discrimination

Computational Linguistics - Special issue on word sense disambiguation
Noun-phrase co-occurrence statistics for semiautomatic semantic lexicon construction

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Verbs semantics and lexical selection

ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Automatic construction of a hypernym-labeled noun hierarchy from text

ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
A graph model for unsupervised lexical acquisition

COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Using LSA and noun coordination information to improve the precision and recall of automatic hyponymy extraction

CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Using information content to evaluate semantic similarity in a taxonomy

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1

Are morpho-syntactic features more predictive for the resolution of noun phrase coordination ambiguity than lexico-semantic similarity scores?

COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Intraclausal Coordination and Clause Detection as a Preprocessing Step to Dependency Parsing

TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Semantic relatedness study using second order co-occurrence vectors computed from biomedical corpora, UMLS and WordNet

Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium

Quantified Score

Hi-index	0.00

Visualization

Abstract

The ability to detect similarity in conjunct heads is potentially a useful tool in helping to disambiguate coordination structures - a difficult task for parsers. We propose a distributional measure of similarity designed for such a task. We then compare several different measures of word similarity by testing whether they can empirically detect similarity in the head nouns of noun phrase conjuncts in the Wall Street Journal (WSJ) treebank. We demonstrate that several measures of word similarity can successfully detect conjunct head similarity and suggest that the measure proposed in this paper is the most appropriate for this task.