| Presentation | 2021-02-18 Sarcasm Detection with Japanese Wikipedia Entity Vector Xu Xufei, Hiai Satoshi, Shimada Kazutaka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the task of detecting sarcasm has been tackled in many studies. Sarcasm detection is important for understanding people's actual sentiments and thoughts. However, general sentiment analysis models, which take polar words as an important feature, often do not understand the sarcasm that conveys intent different from literal meaning. Sufficient relevant information about the sentence is needed for sarcasm detection. In this paper, we work on improving the accuracy of sarcasm detection by introducing external information. This research proposes a method for introducing external information and examines the structure of the model that introduces external information. We compare the methods with baseline methods. The results demonstrate the effectiveness of our method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Sarcasm / Sentiment analysis / Opinion mining / External knowledge / Microblogging |
| Paper # | NLC2020-27 |
| Date of Issue | 2021-02-11 (NLC) |
| Conference Information | |
| Committee | NLC |
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| Conference Date | 2021/2/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 17th Text Analytics Symposium |
| Chair | Kazutaka Shimada(Kyushu Inst. of Tech.) |
| Vice Chair | Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Takeshi Kobayakawa(NHK) |
| Secretary | Mitsuo Yoshida(Univ. of Tokyo) / Takeshi Kobayakawa(Hiroshima Univ. of Economics) |
| Assistant | Kanjin Takahashi(Sansan) / Ko Mitsuda(NTT) |
| 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) | Sarcasm Detection with Japanese Wikipedia Entity Vector |
| Sub Title (in English) | |
| Keyword(1) | Sarcasm |
| Keyword(2) | Sentiment analysis |
| Keyword(3) | Opinion mining |
| Keyword(4) | External knowledge |
| Keyword(5) | Microblogging |
| 1st Author's Name | Xu Xufei |
| 1st Author's Affiliation | Kyushu Institute of Technology(KIT) |
| 2nd Author's Name | Hiai Satoshi |
| 2nd Author's Affiliation | Kyushu Institute of Technology(KIT) |
| 3rd Author's Name | Shimada Kazutaka |
| 3rd Author's Affiliation | Kyushu Institute of Technology(KIT) |
| Date | 2021-02-18 |
| Paper # | NLC2020-27 |
| Volume (vol) | vol.120 |
| Number (no) | NLC-374 |
| Page | pp.pp.25-30(NLC), |
| #Pages | 6 |
| Date of Issue | 2021-02-11 (NLC) |