Table-based Fact Verification

9 papers with code • 1 benchmarks • 2 datasets

Verifying facts given semi-structured data.

Most implemented papers

TAPEX: Table Pre-training via Learning a Neural SQL Executor

microsoft/Table-Pretraining ICLR 2022

TAPEX addresses the data scarcity challenge via guiding the language model to mimic a SQL executor on the diverse, large-scale and high-quality synthetic corpus.

TabFact: A Large-scale Dataset for Table-based Fact Verification

wenhuchen/Table-Fact-Checking ICLR 2020

To this end, we construct a large-scale dataset called TabFact with 16k Wikipedia tables as the evidence for 118k human-annotated natural language statements, which are labeled as either ENTAILED or REFUTED.

Understanding tables with intermediate pre-training

google-research/tapas Findings of the Association for Computational Linguistics 2020

To be able to use long examples as input of BERT models, we evaluate table pruning techniques as a pre-processing step to drastically improve the training and prediction efficiency at a moderate drop in accuracy.

Table-based Fact Verification with Salience-aware Learning

luka-group/salience-aware-learning Findings (EMNLP) 2021

From one perspective, our system conducts masked salient token prediction to enhance the model for alignment and reasoning between the table and the statement.

Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification

qshi95/lergv EMNLP 2021

Specifically, we first retrieve logic-level program-like evidence from the given table and statement as supplementary evidence for the table.

Exploring Decomposition for Table-based Fact Verification

arielsho/decomposition-table-reasoning Findings (EMNLP) 2021

Fact verification based on structured data is challenging as it requires models to understand both natural language and symbolic operations performed over tables.

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

hkunlp/unifiedskg 16 Jan 2022

Structured knowledge grounding (SKG) leverages structured knowledge to complete user requests, such as semantic parsing over databases and question answering over knowledge bases.

Table-based Fact Verification with Self-adaptive Mixture of Experts

thumlp/samoe Findings (ACL) 2022

The table-based fact verification task has recently gained widespread attention and yet remains to be a very challenging problem.