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Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval

  • Harbin Institute of Technology Shenzhen
  • Peng Cheng Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Open-domain table question answering aims to provide answers to a question by retrieving and extracting information from a large collection of tables. Existing studies of open-domain table QA either directly adopt text retrieval methods or consider the table structure only in the encoding layer for table retrieval, which may cause syntactical and structural information loss during table scoring. To address this issue, we propose a syntax- and structure-aware retrieval method for the open-domain table QA task. It provides syntactical representations for the question and uses the structural header and value representations for the tables to avoid the loss of fine-grained syntactical and structural information. Then, a syntactical-to-structural aggregator is used to obtain the matching score between the question and a candidate table by mimicking the human retrieval process.

Original languageEnglish
Title of host publicationShort Papers
EditorsJong C. Park, Yuki Arase, Baotian Hu, Wei Lu, Derry Wijaya, Ayu Purwarianti, Adila Alfa Krisnadhi
PublisherAssociation for Computational Linguistics (ACL)
Pages157-165
Number of pages9
ISBN (Electronic)9798891760141
DOIs
StatePublished - 2023
Externally publishedYes
Event13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, IJCNLP-AACL 2023 - Bali, Indonesia
Duration: 1 Nov 20234 Nov 2023

Publication series

NameProceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: Long Papers, IJCNLP-AACL 2023
Volume2

Conference

Conference13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, IJCNLP-AACL 2023
Country/TerritoryIndonesia
CityBali
Period1/11/234/11/23

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