Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis (C18-1)
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| Challenge: | Existing models for analyzing PASs in Japanese are lacking in identifying elliptical arguments. |
| Approach: | They propose to extend the input and last layers of a bidirectional recurrent neural network model to capture the potential interactions among multiple PASs. |
| Outcome: | The proposed models improve prediction accuracy on a benchmark corpus and achieve state-of-the-art on standardized corpus. |
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