| Presentation | 2022-03-07 Generating the next action from sequence event pairs automatically acquired from Twitter Haruka Enomoto, Kazutaka Shimada, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, natural language inference have been actively studied and it's mainly solved as a classification task. However, classification models can only select answers that are included in the given choices. Therefore, it doesn't truly solve the inference task. In this paper, we propose a method to generate the next actions from a previous action. Generally, we need a large number of training data to learn a generation model. However, there are no data for the generation task of commonsense reasoning. Therefore, we automatically collect event-sentence pairs from Twitter. and we conduct a generation experiment. We apply the extracted data to neural network-based models; seq2seq with attention and T5. One problem of this task is to evaluate the applicability of the generated sentences. In this paper, we also propose an evaluation measure based on Levenshtein distance. Through the measure, we compare the outputs from two generation methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Natural Language Inference / Commonsense Reasoning / Text Generation |
| Paper # | NLC2021-39 |
| Date of Issue | 2022-02-28 (NLC) |
| Conference Information | |
| Committee | NLC |
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| Conference Date | 2022/3/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Information Processing of Tourism, etc. |
| 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) | Generating the next action from sequence event pairs automatically acquired from Twitter |
| Sub Title (in English) | |
| Keyword(1) | Natural Language Inference |
| Keyword(2) | Commonsense Reasoning |
| Keyword(3) | Text Generation |
| 1st Author's Name | Haruka Enomoto |
| 1st Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 2nd Author's Name | Kazutaka Shimada |
| 2nd Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| Date | 2022-03-07 |
| Paper # | NLC2021-39 |
| Volume (vol) | vol.121 |
| Number (no) | NLC-415 |
| Page | pp.pp.62-67(NLC), |
| #Pages | 6 |
| Date of Issue | 2022-02-28 (NLC) |