Information Extraction for User’s Utterance Processing on Ubiquitous Robot Companion

Information Extraction originally tries to statically acquire information from various formatted documents in accordance with user-defined schema. Further, it can expand its application areas into the processing of purposeful user’s utterance in natural language including various linguistic phenomen...

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Bibliographic Details
Published inLecture notes in computer science pp. 337 - 340
Main Authors Jung, Hanmin, Seon, Choong-Nyong, Kim, Jae Hong, Sohn, Joo Chan, Sung, Won-Kyung, Park, Dong-In
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
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ISBN9783540260318
3540260315
ISSN0302-9743
1611-3349
DOI10.1007/11428817_31

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Summary:Information Extraction originally tries to statically acquire information from various formatted documents in accordance with user-defined schema. Further, it can expand its application areas into the processing of purposeful user’s utterance in natural language including various linguistic phenomena such as syntactic transformation and colloquial expression with frequently omitted words/phrases. We basically adopt verified lexico-semantic framework to obtain meaningful information from user’s utterance and divide extraction phase into the two: the first is to extract and revise arguments and the other is to extract a predicate, which is an utterance meaning type of the input sentence.
Bibliography:This research was operated by the project of Ubiquitous Robotics Companion technology development as a national project by the Ministry of Information and Communication Republic of Korea.
ISBN:9783540260318
3540260315
ISSN:0302-9743
1611-3349
DOI:10.1007/11428817_31