Presentation | 2008/7/10 Combining Pattern-Based and Ancher-Based Approaches for Event Relation Acquisition Shuya ABE, Kentaro INUI, Yuji MATSUMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Addressing the task of acquiring semantic relations between events from a large corpus, we first argue the complementarity between the pattern-based relation-oriented approach and the anchor-based argument-oriented approach. We then proposes a two-phased approach, which first uses lexico-syntactic patterns to acquire predicate pairs and then uses two types of anchors to identify shared arguments. The present results of our empirical evaluation on a large-scale Japanese Web corpus have shown that (a) the anchor-based filtering extensively improves the precision of predicate pair acquisition, (b) the two types anchors are almost equally contributive and combining them improves recall without losing precision, and (c) the anchor-based method achieves high precision also in shared argument identification. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | relation extraction |
Paper # | NLC2008-4 |
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Committee | NLC |
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Conference Date | 2008/7/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Combining Pattern-Based and Ancher-Based Approaches for Event Relation Acquisition |
Sub Title (in English) | |
Keyword(1) | relation extraction |
1st Author's Name | Shuya ABE |
1st Author's Affiliation | Nara Institute of Science and Technology Graduate School of Information Science() |
2nd Author's Name | Kentaro INUI |
2nd Author's Affiliation | Nara Institute of Science and Technology Graduate School of Information Science |
3rd Author's Name | Yuji MATSUMOTO |
3rd Author's Affiliation | Nara Institute of Science and Technology Graduate School of Information Science |
Date | 2008/7/10 |
Paper # | NLC2008-4 |
Volume (vol) | vol.108 |
Number (no) | 141 |
Page | pp.pp.- |
#Pages | 6 |
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