method ID: tapas

Related Papers

TaPas: Weakly Supervised Table Parsing via Pre-training

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractAnswering natural language questions over tables is usually seen as a semantic parsing task. To alleviate the collection cost of full logical forms, one popular approach focuses on weak supervision …...

37677

Understanding tables with intermediate pre-training

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractTable entailment, the binary classification task of finding if a sentence is supported or refuted by the content of a table, requires parsing language and table structure as well as …...

32452

AttesTable at SemEval-2021 Task 9: Extending Statement Verification with Tables for Unknown Class, and Semantic Evidence Finding

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThis paper describes our approach for Task 9 of SemEval 2021: Statement Verification and Evidence Finding with Tables. We participated in both subtasks, namely statement verification and evidence finding. For …...

25398

Capturing Row and Column Semantics in Transformer Based Question Answering over Tables

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractTransformer based architectures are recently used for the task of answering questions over tables. In order to improve the accuracy on this task, specialized pre-training techniques have been developed and …...

21777

Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractQuestion answering from semi-structured tables can be seen as a semantic parsing task and is significant and practical for pushing the boundary of natural language understanding. Existing research mainly focuses …...

25416

Structural Encoding and Pre-training Matter: Adapting BERT for Table-Based Fact Verification

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractGrowing concern with online misinformation has encouraged NLP research on fact verification. Since writers often base their assertions on structured data, we focus here on verifying textual statements given evidence …...

42614