Papers by Aman Ahuja
Question Answering with Long Multiple-Span Answers (2020.findings-emnlp)
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| Challenge: | Existing QA systems for question answering are limited by the availability of annotated datasets. |
| Approach: | They propose a dataset for question-answering that extracts information from multiple parts of text . they propose QA-based multi-span neural architecture that captures relevance among multiple answer spans . |
| Outcome: | The proposed model outperforms state-of-the-art QA models in this multi-span QA setting. |