An awesome paper list of Table-based Question Answering. Paper Dataset Single-Turn Compositional Semantic Parsing on Semi-Structured Tables

Table Question Answering (Table QA) refers to providing precise answers from tables to answer a user's question. With recent works on Table QA, ...

7 авг. 2023 г. · TableQAKit is a unified platform for TableQA (especially in the LLM era). Its main features includes: Extensible design: You can use the ...

Question Answering on Tabular Data with HuggingFace Transformers Pipeline & TAPAS - table-question-answering-demo/table-qa-pipeline.ipynb at main ...

Question Answering on Tabular Data with HuggingFace Transformers Pipeline & TAPAS - bhattbhavesh91/table-question-answering-demo.

table question answering. Contribute to kemperd/tables development by creating an account on GitHub.

This repo is for Korean wiki table question answering datasets described in the paper of Korean-Specific Dataset for Table Question Answering ...

FeTaQA is a Free-form Table Question Answering dataset with 10K Wikipedia-based {table, question, free-form answer, supporting table cells} pairs.

TAPAS is a pre-trained language model designed to handle questions about tabular data, leveraging its ability to reason over structured tables.

This repository serves primarily as codebase and data, model for training, evaluation and inference of the framework CARP, which is proposed by the paper