Presentation | 1998/7/24 Partitioning long sentences: how useful it is for sentences extraction Takahiro Wakao, Terumasa Ehara, Katsuhiko Shirai, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is known that there are fewer sentences in a TV news text and the sentences are longer compared with those in a newspaper article. We use such TV news texts and would like to summarize them by selecting important sentences. However, since each sentences is rather long, we end up losing a good amount of information if we omit a whole sentence. Therefore, we adopted a method in which we partition long sentences into shorter sentences, and select important sentences from them. We evaluate the results of the method as well as those of the simple sentence extraction where there is no partitioning of the sentences. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Sentence extraction / Sentence partitioning / Text summarization / TV news text |
Paper # | NLC98-15 |
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Committee | NLC |
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Conference Date | 1998/7/24(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) | Partitioning long sentences: how useful it is for sentences extraction |
Sub Title (in English) | |
Keyword(1) | Sentence extraction |
Keyword(2) | Sentence partitioning |
Keyword(3) | Text summarization |
Keyword(4) | TV news text |
1st Author's Name | Takahiro Wakao |
1st Author's Affiliation | TAO of Japan() |
2nd Author's Name | Terumasa Ehara |
2nd Author's Affiliation | NHK/TAO |
3rd Author's Name | Katsuhiko Shirai |
3rd Author's Affiliation | Waseda University/TAO |
Date | 1998/7/24 |
Paper # | NLC98-15 |
Volume (vol) | vol.98 |
Number (no) | 210 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |