A Survey on Table Question Answering: Recent Advances

• URL: http://arxiv.org/abs/2207.05270v1
• Date: Tue, 12 Jul 2022 02:44:40 GMT
• Title: A Survey on Table Question Answering: Recent Advances
• Authors: Nengzheng Jin, Joanna Siebert, Dongfang Li, Qingcai Chen
• Abstract summary: Table Question Answering (Table QA) refers to providing precise answers from tables to answer a user's question. We classify existing methods for table QA into five categories according to their techniques. We identify and outline several key challenges and discuss the potential future directions of table QA.
• Score: 10.874446530132087
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Table Question Answering (Table QA) refers to providing precise answers from tables to answer a user's question. In recent years, there have been a lot of works on table QA, but there is a lack of comprehensive surveys on this research topic. Hence, we aim to provide an overview of available datasets and representative methods in table QA. We classify existing methods for table QA into five categories according to their techniques, which include semantic-parsing-based, generative, extractive, matching-based, and retriever-reader-based methods. Moreover, as table QA is still a challenging task for existing methods, we also identify and outline several key challenges and discuss the potential future directions of table QA.

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