Papers by Chikara Hashimoto
Weakly Supervised Multilingual Causality Extraction from Wikipedia (D19-1)
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| Challenge: | Existing methods for extracting causality knowledge from Wikipedia are lacking in this area. |
| Approach: | They propose a method for extracting causality knowledge from Wikipedia . they exploit the multilinguality of Wikipedia and the ability to translate to multiple languages . |
| Outcome: | The proposed method achieves precision and recall above 98% and 64%, respectively. |
Hunt for Buried Treasures: Extracting Unclaimed Embodiments from Patent Specifications (2023.acl-industry)
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| Challenge: | Unclaimed embodiment extraction is performed manually and little research has been conducted on its automation. |
| Approach: | They propose a task of unclaimed embodiment extraction and a dataset for the task . they use a natural language inference task to extract unclaimed inventions . |
| Outcome: | The proposed task requires performing natural language inference on patent specifications. |