Papers by Tomoya Kurosawa
Does Character-level Information Always Improve DRS-based Semantic Parsing? (2023.starsem-1)
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| Challenge: | incorporating character-level information does not improve the performance in English and German, and is not sensitive to correct character order in Dutch. |
| Approach: | They propose to incorporate character-level representations into a neural semantic parser for Discourse Representation Structures and to test their performance using order of character sequences. |
| Outcome: | The proposed parser improves in English, German, Dutch, and Italian in four languages. |
Logical Inference for Counting on Semi-structured Tables (2022.acl-srw)
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| Challenge: | Natural Language Inference (NLI) tasks require numerical understanding to perform a numerical type of inference, such as counting. |
| Approach: | They propose a logical inference system for reasoning between semi-structured tables and texts that uses logical representations as meaning representations and model checking to handle a numerical type of inference. |
| Outcome: | The proposed system can perform inference with numerical comparatives with tables and texts in English. |