Acquisition of semantic patterns for information extraction from corpora

Jun Tae Kim, Dan I. Moldovan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

45 Scopus citations

Abstract

The memory-based parsing or pattern-based phrase recognition has been successfully applied to the information extraction from natural language corpus. One problem of such an approach is that the parser needs a very large number of semantic patterns. Manual creation of the semantic patterns is unrealistic. To solve the scalability and portability problem, automatic acquisition of semantic patterns must be provided. In this paper, a semi-automatic knowledge acquisition system, PALKA, is presented, which facilitates the construction of a large knowledge base of semantic patterns. The system acquires semantic patterns from texts with a small amount of user interaction. The acquisition process with PALKA is described in detail, and a preliminary experimental result is discussed.

Original languageEnglish
Title of host publicationProceedings of the Conference on Artificial Intelligence Applications
PublisherPubl by IEEE
Pages171-176
Number of pages6
ISBN (Print)0818638400
StatePublished - 1993
EventProceedings of the 9th Conference on Artificial Intelligence for Applications - Orlando, FL, USA
Duration: 1 Mar 19935 Mar 1993

Publication series

NameProceedings of the Conference on Artificial Intelligence Applications

Conference

ConferenceProceedings of the 9th Conference on Artificial Intelligence for Applications
CityOrlando, FL, USA
Period1/03/935/03/93

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