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--- |
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language: |
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- ja |
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library_name: transformers |
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widget: |
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- text: X が 部屋 で ゲームするxNeed 1 分 前 、 |
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--- |
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# TaCOMET_ja |
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This is the Japanese TaCOMET model, which is the finetuned COMET model on the Japanese ver. of [TimeATOMIC](https://github.com/nlp-waseda/TaCOMET) using causal language modeling (CLM) objective. |
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The data and this model are introduced in [this paper](https://www.anlp.jp/proceedings/annual_meeting/2024/pdf_dir/P3-19.pdf). |
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### Preprocessing |
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The texts are segmented into words using Juman++ and tokenized using SentencePiece. |
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### BibTeX entry and citation info |
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```bibtex |
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@InProceedings{murata_nlp2023_tacomet, |
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author = "村田栄樹 and 河原大輔", |
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title = "TaCOMET: 時間を考慮したイベント常識生成モデル", |
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booktitle = "言語処理学会第30回年次大会", |
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year = "2024", |
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url = "https://www.anlp.jp/proceedings/annual_meeting/2024/pdf_dir/P3-19.pdf" |
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note = "in Japanese" |
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} |
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``` |
