FEVER is a publicly available dataset for fact extraction and verification against textual sources. It consists of 185,445 claims manually verified against ...

FEVER (Fact Extraction and VERification) consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified ...

FEVER Dataset: FEVER (Fact Extraction and VERification) consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently ...

2018 FEVER: a large-scale dataset for Fact Extraction and VERification .bib James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Arpit Mittal

Abstract. In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification.

In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification.

14 мар. 2018 г. · In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification.

This paper introduces a new publicly available dataset for verification against textual sources, FEVER, which consists of 185,445 claims generated by ...

In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification.

Created by Thorne et al. at 2018, the Fact Extraction and Verfication (FEVER) Dataset contains 185,445 claims generated by altering sentences extracted from ...