Published Jun 28, 2018

60 - FEVER: a large-scale dataset for Fact Extraction and VERification, with James Thorne

James Thorne delves into the challenges of the FEVER dataset for fact verification, emphasizing the importance of enhancing evidence retrieval and encouraging participation in the FEVER workshop to advance research in fact extraction and verification, ultimately aiming to tackle misinformation by focusing on source verification.

Episode Highlights

Topics covered

Baseline System Challenges
01
Fact Verification Workshop
02
Fact Verification Dataset
03

Popular Clips

Claim Labeling Process
Play Clip
Fact Extraction Workshop
Play Clip
Evidence Retrieval Insights
Play Clip
Dataset Construction Process
Play Clip
Baseline System Overview
Play Clip
New Data Challenges
Play Clip
Fact Verification Process
Play Clip
Annotation Artifacts Study
Play Clip

60 - FEVER: a large-scale dataset for Fact Extraction and VERification, with James Thorne

Topics covered

Popular Clips

Episode Highlights

Baseline System ChallengesJames Thorne discusses the FEVER dataset's baseline system for fact verification, highlighting its structure and challenges. He emphasizes the need for improvements in evidence retrieval to enhance the system's accuracy and effectiveness.

Baseline System Challenges

Fact Verification WorkshopThe FEVER workshop at EMNLP 2018 invites researchers to contribute to the fields of fact extraction and verification. James Thorne outlines the objectives and encourages participation in this pivotal event.

Fact Verification Workshop

Fact Verification Dataset