most citedAdversarial attacks against Fact Extraction and VERification

22 citations · 24 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL2019

HighRES: Highlight-based Reference-less Evaluation of Summarization

Hardy, Shashi Narayan, Andreas Vlachos

There has been substantial progress in summarization research enabled by the availability of novel, often large-scale, datasets and recent advances on neural network-based approach…

cs.LG2019

Generating Token-Level Explanations for Natural Language Inference

James Thorne, Andreas Vlachos, Christos Christodoulopoulos +1

The task of Natural Language Inference (NLI) is widely modeled as supervised sentence pair classification. While there has been a lot of work recently on generating explanations of…

cs.CL2019

Strong Baselines for Complex Word Identification across Multiple Languages

Pierre Finnimore, Elisabeth Fritzsch, Daniel King +4

Complex Word Identification (CWI) is the task of identifying which words or phrases in a sentence are difficult to understand by a target audience. The latest CWI Shared Task relea…

cs.CL20192 cited

Automated Fact Checking in the News Room

Sebastião Miranda, David Nogueira, Afonso Mendes +5

Fact checking is an essential task in journalism; its importance has been highlighted due to recently increased concerns and efforts in combating misinformation. In this paper, we…

cs.CL201922 cited

Adversarial attacks against Fact Extraction and VERification

James Thorne, Andreas Vlachos

This paper describes a baseline for the second iteration of the Fact Extraction and VERification shared task (FEVER2.0) which explores the resilience of systems through adversarial…

cs.CL2015

Dependency Recurrent Neural Language Models for Sentence Completion

Piotr Mirowski, Andreas Vlachos

Recent work on language modelling has shifted focus from count-based models to neural models. In these works, the words in each sentence are always considered in a left-to-right or…