Abstract
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.
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.
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References
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© 2005 Springer-Verlag Berlin Heidelberg
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Jung, H., Seon, CN., Kim, J.H., Sohn, J.C., Sung, WK., Park, DI. (2005). Information Extraction for User’s Utterance Processing on Ubiquitous Robot Companion. In: Montoyo, A., Muńoz, R., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2005. Lecture Notes in Computer Science, vol 3513. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11428817_31
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DOI: https://doi.org/10.1007/11428817_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26031-8
Online ISBN: 978-3-540-32110-1
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