Presentation | 2006-10-20 Current Status of Natural Language Processing based on Lexical Functional Grammar and its Applications Hiroshi MASUICHI, Tomoko OHKUMA, Motoyuki TAKAAI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Lexical Functional Grammar (LFG) is one of the linguistic theories for deep natural language analysis. This paper reports the Japanese parsing and generation system, Japanese grammar writing, and their application technology based on LFG we have developed. The evaluation experiments using Japanese EDR corpus show that the Japanese LFG system attains 85.9% precision and 83.9% recall of dependency accuracy, 97.3% of sentence analysis coverage, and 95.7% of sentence generation coverage. The natural language analysis systems based on a deep linguistic theory such as LFG and Head-driven Phrase Structure Grammar can output richer information compared with the analysis systems based on shallow approaches. The deep natural language technologies will play an important role for more sophisticated natural language processing applications because their performances in accuracy and coverage are approaching the quality for practical use. In this paper we explain the information extraction method in which the Japanese LFG system is applied to medical text as an example of the applications using the deep natural language technology. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Lexical Functional Grammar / Xerox Linguistic Environment / deep parsing and generation |
Paper # | NLC2006-23 |
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Committee | NLC |
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Conference Date | 2006/10/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Natural Language Understanding and Models of Communication (NLC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Current Status of Natural Language Processing based on Lexical Functional Grammar and its Applications |
Sub Title (in English) | |
Keyword(1) | Lexical Functional Grammar |
Keyword(2) | Xerox Linguistic Environment |
Keyword(3) | deep parsing and generation |
1st Author's Name | Hiroshi MASUICHI |
1st Author's Affiliation | Corporate Research Group, Fuji Xerox Co., Ltd.() |
2nd Author's Name | Tomoko OHKUMA |
2nd Author's Affiliation | Corporate Research Group, Fuji Xerox Co., Ltd. |
3rd Author's Name | Motoyuki TAKAAI |
3rd Author's Affiliation | Corporate Research Group, Fuji Xerox Co., Ltd. |
Date | 2006-10-20 |
Paper # | NLC2006-23 |
Volume (vol) | vol.106 |
Number (no) | 299 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |