| Presentation | 2004/10/28 Estimate of Conceptual Vectors for Unregistered Words Katsuji BESSHO, Masahiro OKU, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A conceptual base consisting of conceptual vectors, which are semantic representations of each word generated from co-occurrence patterns with other words, is useful for topic structure extraction from text or information retrieval. However, unregistered words from the conceptual base are not assigned conceptual vectors, and cannot be applied to the processing using conceptual base. We propose a method of estimating the conceptual vectors for unregistered words based on co-occurrence information in the texts. The experimental results of topic segmentation using several articles hi the newspapers show that the proposed method, using estimated vectors, can improve segmentation accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Unregistered Word / Conceptual Vector / Topic Segmentation |
| Paper # | NLC2004-20 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2004/10/28(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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) | Estimate of Conceptual Vectors for Unregistered Words |
| Sub Title (in English) | |
| Keyword(1) | Unregistered Word |
| Keyword(2) | Conceptual Vector |
| Keyword(3) | Topic Segmentation |
| 1st Author's Name | Katsuji BESSHO |
| 1st Author's Affiliation | NTT Cyber-Solutions Laboratories, NTT Corporation() |
| 2nd Author's Name | Masahiro OKU |
| 2nd Author's Affiliation | NTT Cyber-Solutions Laboratories, NTT Corporation |
| Date | 2004/10/28 |
| Paper # | NLC2004-20 |
| Volume (vol) | vol.104 |
| Number (no) | 416 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |