| Presentation | 2022-09-13 A study on keyword extraction based on phrase-level context information acquisition Yumeto Inaoka, Mitsuo Yoshida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We study a method for extracting words and phrases that belong to the desired class (e.g. magazine name) as keywords from documents. The task is similar to Named Entity Recognition (NER) task. However, in keyword extraction, the extraction target is not limited to named entity and it collects keywords without assigning named entity labels to the named entity in document texts. Furthermore, the input is not a set of labeled documents, but a set of keywords that are examples of words and phrases belonging to the desired class. In this paper, we study a keyword extraction method based on the phrase-level context information acquisition. As a result, we found that the method can achieve high accuracy without training on large datasets. On the other hand, we demonstrated the problems such as the extracted strings that cannot be used as keywords. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Keyword extraction / Named entity recognition / n-gram |
| Paper # | NLC2022-5 |
| Date of Issue | 2022-09-06 (NLC) |
| Conference Information | |
| Committee | NLC |
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| Conference Date | 2022/9/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Keio Univ. Yagami Campus. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 19th Text Analytics Symposium |
| Chair | Mitsuo Yoshida(Univ. of Tsukuba) |
| Vice Chair | Hiroki Sakaji(Univ. of Tokyo) / Takeshi Kobayakawa(NHK) |
| Secretary | Hiroki Sakaji(NTT) / Takeshi Kobayakawa(Hiroshima Univ. of Economics) |
| Assistant | Kanjin Takahashi(Sansan) / Yasuhiro Ogawa(Nagoya Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on keyword extraction based on phrase-level context information acquisition |
| Sub Title (in English) | |
| Keyword(1) | Keyword extraction |
| Keyword(2) | Named entity recognition |
| Keyword(3) | n-gram |
| 1st Author's Name | Yumeto Inaoka |
| 1st Author's Affiliation | Faber Company Inc.(Faber Company) |
| 2nd Author's Name | Mitsuo Yoshida |
| 2nd Author's Affiliation | University of Tsukuba(Univ. of Tsukuba) |
| Date | 2022-09-13 |
| Paper # | NLC2022-5 |
| Volume (vol) | vol.122 |
| Number (no) | NLC-180 |
| Page | pp.pp.5-8(NLC), |
| #Pages | 4 |
| Date of Issue | 2022-09-06 (NLC) |