Papers with factoid question answering

2 papers
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters (N19-1)

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Challenge: ComQA dataset captures question phenomena and the diverse ways in which they are formulated.
Approach: They propose a large dataset of real user questions that captures question phenomena and the diverse ways in which they are formulated.
Outcome: The proposed dataset can be a driver of future research on factoid question answering (QA).
Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections (2022.emnlp-main)

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Challenge: Existing systems for text comprehension are inadequate for more holistic comprehension of a discourse.
Approach: They propose a new paradigm that captures both discourse and semantic links between sentences in the form of free-form, open-ended questions.
Outcome: The proposed model captures discourse and semantic links between sentences in the form of free-form, open-ended questions.

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