| Challenge: | Factoid question answering systems extract answers for a question from passages, which are usually short spans of text . but, these spans would result in an unnatural reading experience in a conversational system . a pointer generator based full-length answer generator can be used with most QA systems . |
| Approach: | They propose a pointer generator based full-length answer generator which can be used with most QA systems. |
| Outcome: | The proposed system generates full length answer without relying on passage from which it was extracted. |
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NLQuAD: A Non-Factoid Long Question Answering Data Set (2021.eacl-main)
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CONSISTENT: Open-Ended Question Generation From News Articles (2022.findings-emnlp)
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A Nil-Aware Answer Extraction Framework for Question Answering (D18-1)
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Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering (2021.eacl-main)
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| Challenge: | Existing approaches to extracting answer from text are expensive to train and train. |
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