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
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
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
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.
AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence Finding
This paper describes our approach for Task 9 of SemEval 2021: Statement Verification and Evidence Finding with Tables.
Table-based Fact Verification with Salience-aware Learning
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
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
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
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
The table-based fact verification task has recently gained widespread attention and yet remains to be a very challenging problem.