Papers by Shotaro Misawa
Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning (D19-1)
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| Challenge: | Existing automated generation of articles' characteristics is inconsistent if they are generated individually. |
| Approach: | They propose a multi-task learning model with a shared encoder and multiple decoders for each task. |
| Outcome: | The proposed model generates more consistent headlines, key phrases and categories . it outperforms baseline model on the ROUGE scores and generates fluent headlines . |
Integrating Tree Structures and Graph Structures with Neural Networks to Classify Discussion Discourse Acts (C18-1)
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| Challenge: | Existing models that analyze textual contents and discussion structures require understanding of textual content and discussion structure. |
| Approach: | They propose a model that integrates discussion structures with neural networks to classify discourse acts. |
| Outcome: | The proposed model improves accuracy and FB1 score by 1.5% compared to the previous best model. |