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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Published in | Lecture notes in computer science pp. 337 - 340 |
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Main Authors | , , , , , |
Format | Book Chapter Conference Proceeding |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
2005
Springer |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
ISBN | 9783540260318 3540260315 |
ISSN | 0302-9743 1611-3349 |
DOI | 10.1007/11428817_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. |
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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 |