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        <title>Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification</title>
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    <abstract>Question Answering (QA) systems aim to return correct and concise answers in response to user questions. QA research generally assumes all questions are intelligible and unambiguous, which is unrealistic in practice as questions frequently encountered by virtual assistants are ambiguous or noisy. In this work, we propose to make QA systems more robust via the following two-step process: (1) classify if the input question is intelligible and (2) for such questions with contextual ambiguity, return a clarification question. We describe a new open-domain clarification corpus containing user questions sampled from Quora, which is useful for building machine learning approaches to solving these tasks.</abstract>
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%0 Conference Proceedings
%T Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification
%A Lauriola, Ivano
%A Small, Kevin
%A Moschitti, Alessandro
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F lauriola-etal-2022-building
%X Question Answering (QA) systems aim to return correct and concise answers in response to user questions. QA research generally assumes all questions are intelligible and unambiguous, which is unrealistic in practice as questions frequently encountered by virtual assistants are ambiguous or noisy. In this work, we propose to make QA systems more robust via the following two-step process: (1) classify if the input question is intelligible and (2) for such questions with contextual ambiguity, return a clarification question. We describe a new open-domain clarification corpus containing user questions sampled from Quora, which is useful for building machine learning approaches to solving these tasks.
%U https://aclanthology.org/2022.lrec-1.502
%P 4701-4707

Markdown (Informal)

[Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification](https://aclanthology.org/2022.lrec-1.502) (Lauriola et al., LREC 2022)

• Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification (Lauriola et al., LREC 2022)

ACL

• Ivano Lauriola, Kevin Small, and Alessandro Moschitti. 2022. Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4701–4707, Marseille, France. European Language Resources Association.