Lexical Discovery with an Enriched Semantic Network

The study of lexical semantics has produced a systematic analysis of relationships between content words that has greatly bene ted both lexical search tools and natural language processing systems. We describe research toward a common algorithmic core for these two applications. We rst introduce a database system called FreeNet that facilitates the description and exploration nite binary relations. We then describe the design and implementation of Lexical FreeNet, a semantic network that mixes WordNet-derived semantic relations with data-derived and phonetically-derived relations. We discuss how Lexical FreeNet has aided in lexical discovery, the pursuit of linguistic and factual knowledge by the computer-aided exploration of lexical relations, and relate this to ongoing research in how the system can be employed in natural language processing algorithms for segmentation and summarization. Submission Type: Paper for Coling-ACL '98 Workshop, \Usage of WordNet in Natural Language Processing Systems" Topic Areas: Lexical semantics, semantic networks, text processing, WordNet Author of Record: Doug Beeferman Under consideration for other conferences (specify)? None Lexical Discovery with an Enriched Semantic Network Abstract The study of lexical semantics has produced a systematic analysis of relationships between content words that has greatly bene ted both lexical search tools and natural language processing systems. We describe research toward a common algorithmic core for these two applications. We rst introduce a database system called FreeNet that facilitates the description and exploration nite binary relations. We then describe the design and implementation of Lexical FreeNet, a semantic network that mixes WordNet-derived semantic relations with data-derived and phonetically-derived relations. We discuss how Lexical FreeNet has aided in lexical discovery, the pursuit of linguistic and factual knowledge by the computer-aided exploration of lexical relations, and relate this to ongoing research in how the system can be employed in natural language processing algorithms for segmentation and summarization.The study of lexical semantics has produced a systematic analysis of relationships between content words that has greatly bene ted both lexical search tools and natural language processing systems. We describe research toward a common algorithmic core for these two applications. We rst introduce a database system called FreeNet that facilitates the description and exploration nite binary relations. We then describe the design and implementation of Lexical FreeNet, a semantic network that mixes WordNet-derived semantic relations with data-derived and phonetically-derived relations. We discuss how Lexical FreeNet has aided in lexical discovery, the pursuit of linguistic and factual knowledge by the computer-aided exploration of lexical relations, and relate this to ongoing research in how the system can be employed in natural language processing algorithms for segmentation and summarization.