Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions

• URL: http://arxiv.org/abs/2308.08661v1
• Date: Wed, 16 Aug 2023 20:23:16 GMT
• Title: Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions
• Authors: Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
• Abstract summary: We present a new state-of-the-art for answering ambiguous questions that exploits a database of unambiguous questions generated from Wikipedia. Our method improves performance by 15% on recall measures and 10% on measures which evaluate disambiguating questions from predicted outputs.
• Score: 95.92276099234344
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Many open-domain questions are under-specified and thus have multiple possible answers, each of which is correct under a different interpretation of the question. Answering such ambiguous questions is challenging, as it requires retrieving and then reasoning about diverse information from multiple passages. We present a new state-of-the-art for answering ambiguous questions that exploits a database of unambiguous questions generated from Wikipedia. On the challenging ASQA benchmark, which requires generating long-form answers that summarize the multiple answers to an ambiguous question, our method improves performance by 15% (relative improvement) on recall measures and 10% on measures which evaluate disambiguating questions from predicted outputs. Retrieving from the database of generated questions also gives large improvements in diverse passage retrieval (by matching user questions q to passages p indirectly, via questions q' generated from p).

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