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ACL Findings2023

Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table

Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi

摘要

Despite recent interest in open domain question answering (ODQA) over tables, many studies still rely on datasets that are not truly optimal for the task with respect to utilizing structural nature of table. These datasets assume answers reside as a single cell value and do not necessitate exploring over multiple cells such as aggregation, comparison, and sorting. Thus, we release Open-WikiTable, the first ODQA dataset that requires complex reasoning over tables. Open-WikiTable is built upon Wik-iSQL and WikiTableQuestions to be applicable in the open-domain setting. As each question is coupled with both textual answers and SQL queries, Open-WikiTable opens up a wide range of possibilities for future research, as both reader and parser methods can be applied. The dataset and code are publicly available 1 .

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引用它的顶会 Paper18

  1. OpenTab: Advancing Large Language Models as Open-domain Table ReasonersKezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan 等ICLR 2024 · 40 次引用
  2. MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple TablesKwangwook Seo, Donguk Kwon, Dongha LeeACL 2025 · 8 次引用
  3. BIRDIE: Natural Language-Driven Table Discovery Using Differentiable Search IndexYuxiang Guo, Zhonghao Hu, Yuren Mao, Baihua Zheng 等VLDB 2025 · 6 次引用
  4. ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained AlignmentHao Yang, Yifan Ji, Zhipeng Xu, Zhenghao Liu 等SIGIR 2026 · 4 次引用
  5. Empowering Tabular Data Preparation with Language Models: Why and How?Mengshi Chen, Yuxiang Sun, Tengchao Li, Jianwei Wang 等ACL 2026 · 4 次引用

它引用的 Paper5

  1. Dense Passage Retrieval for Open-Domain Question AnsweringVladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis 等EMNLP 2020 · 142 次引用
  2. Open Question Answering over Tables and TextWenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang 等ICLR 2021 · 76 次引用
  3. On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL QueriesTianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III 等EMNLP Findings 2020 · 45 次引用
  4. Web Table Retrieval using Multimodal Deep LearningRoee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa CanimSIGIR 2020 · 45 次引用
  5. TaPas: Weakly Supervised Table Parsing via Pre-trainingJonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno 等ACL 2020 · 19 次引用

相关 Paper

  1. Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question AnsweringAlexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu 等ACL 2021
  2. HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual DataWenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong 等EMNLP Findings 2020 · 205 次引用
  3. TempTabQA: Temporal Question Answering for Semi-Structured TablesVivek Gupta, Pranshu Kandoi, Mahek Bhavesh Vora, Shuo Zhang 等EMNLP 2023 · 4 次引用
  4. IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table StructuresMingyu Zheng, Yang Hao, Wenbin Jiang, Zheng Lin 等ACL 2023 · 2 次引用
  5. INFOTABS: Inference on Tables as Semi-structured DataVivek Gupta, Maitrey Mehta, Pegah Nokhiz, Vivek SrikumarACL 2020
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