Processing dictionary definitions with phrasal pattern hierarchies
Computational Linguistics - Special issue of the lexicon
Disambiguating prepositional phrase attachments by using on-line dictionary definitions
Computational Linguistics - Special issue of the lexicon
Knowledge representation for commonsense reasoning with text
Computational Linguistics
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
Retrieval performance in Ferret a conceptual information retrieval system
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Using multiple knowledge sources for word sense discrimination
Computational Linguistics
Topical clustering of MRD senses based on information retrieval techniques
Computational Linguistics - Special issue on word sense disambiguation
Corpus-based acquisition of relative pronoun disambiguation heuristics
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Structural patterns vs. string patterns for extracting semantic information from dictionaries
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
An application of lexical semantics to knowledge acquisition from corpora
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Ontology-driven geographic information integration: A survey of current approaches
Computers & Geosciences
Hi-index | 0.01 |
To achieve our goal of building a comprehensive lexical database out of various on-line resources, it is necessary to interpret and disambiguate the information found in these resources. In this paper we describe a Disambiguation Module which analyzes the content of dictionary definitions, in particular, definitions of the form "to VERB with NP". We discuss the semantic relations holding between the head and the prepositional phrase in such structures, as well as our heuristics for identifying these relations and for disambiguating the senses of the words involved. We present some results obtained by the Disambiguation Module and evaluate its rate of success as compared with results obtained from human judgments.