Presentation | 2008/7/10 Sentence Compression by Removing Recursive Structure from Parse Tree Seiji EGAWA, Yoshihide KATO, Shigeki MATSUBARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Sentence compression is a task of generating a grammatical short sentence from an original sentence, retaining the most important information. The existing methods of only removing the constituents in the parse tree of an original sentence cannot emulate human compression which changes structures of the parse tree. This paper proposes a method to remove recursive structures, one of such structural conversions, and generate a grammatical short sentence. In order to remove a recursive structure, our method detects the constituents forming the structure and remove them as a unit. Compression experiments have shown that our method generates more grammatical compressed sentences than the previous method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | text summarization / phrase structure / maximum entropy method / text corpus |
Paper # | NLC2008-11 |
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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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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) | Sentence Compression by Removing Recursive Structure from Parse Tree |
Sub Title (in English) | |
Keyword(1) | text summarization |
Keyword(2) | phrase structure |
Keyword(3) | maximum entropy method |
Keyword(4) | text corpus |
1st Author's Name | Seiji EGAWA |
1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
2nd Author's Name | Yoshihide KATO |
2nd Author's Affiliation | Graduate School of International Development, Nagoya University |
3rd Author's Name | Shigeki MATSUBARA |
3rd Author's Affiliation | Information Technology Center, Nagoya University |
Date | 2008/7/10 |
Paper # | NLC2008-11 |
Volume (vol) | vol.108 |
Number (no) | 141 |
Page | pp.pp.- |
#Pages | 6 |
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