Table Question Answering
Table Question Answering is a specialized form of question answering that involves deriving answers from structured tabular data through the interpretation of both syntactic and semantic relationships within the table schema and cell values.
32
Publications
1.7K
Citations
135
Authors
44
Institutions
Publications per year
2017–2026
30
Variants
Table Qa
Parents
32
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
Pengcheng Yin, Graham Neubig, Wen-tau Yih et al. · 2020 · 427 citations · Full text
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
Fengbin Zhu, Wenqiang Lei, Youcheng Huang et al. · 2021 · 159 citations · Full text
Computing, Computer Science, Finance +15
1–5 of 32
135
6
h-index
6
h-index
5
h-index
University of Electronic Science and Technology of China, China
3 publications · 52 citations
3
h-index
3
h-index
1–5 of 135
44
Carnegie Mellon University
Pittsburgh, United States
5 h-index
10 publications
2K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
12 publications
308 citations
Microsoft Research Asia (China)
Beijing, China
4 h-index
11 publications
404 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
8 publications
174 citations
Microsoft (United States)
Redmond, United States
2 h-index
8 publications
318 citations
Rensselaer Polytechnic Institute
Troy, United States
2 h-index
3 publications
63 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
2 publications
34 citations

Beihang University
Beijing, China
2 h-index
2 publications
36 citations
1–8 of 44
Repository · 6 publications · 114 citations
7
h-index
Conference · 2 publications · 69 citations
2
h-index
Conference · 2 publications · 41 citations
2
h-index
1 publications · 13 citations
2
h-index
1 publications · 282 citations
1
h-index
1–5