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Andreas Vlachos

University of Cambridge

38 papers hereh-index 419.1k citations114 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author10
  • last author27

Across the 37 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CL36
  • cs.CR1
  • cs.LG1
affiliations
  • University of Cambridge
HomepageORCID 0000-0003-2123-5071
same name
  • Andreas Vlachos — 18 papers, h 10
  • Andreas Vlachos — 18 papers, h 8
  • Andreas Vlachos — 4 papers, h 1
  • Andreas Vlachos — 3 papers, h 1
  • Andreas Vlachos — 2 papers, h 1
  • Andreas Vlachos — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedAutomated Fact Checking: Task formulations, methods and future directions

129 citations · 276 across the 19 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018

The Fact Extraction and VERification (FEVER) Shared Task

James Thorne, Andreas Vlachos, Oana Cocarascu +2

We present the results of the first Fact Extraction and VERification (FEVER) Shared Task. The task challenged participants to classify whether human-written factoid claims could be…

cs.CL2018★ 14 cited

Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation

Hardy, Andreas Vlachos

Recent work on abstractive summarization has made progress with neural encoder-decoder architectures. However, such models are often challenged due to their lack of explicit semant…

cs.CL2018★ 129 cited

Automated Fact Checking: Task formulations, methods and future directions

James Thorne, Andreas Vlachos

The recently increased focus on misinformation has stimulated research in fact checking, the task of assessing the truthfulness of a claim. Research in automating this task has bee…

cs.CL2018

FEVER: a large-scale dataset for Fact Extraction and VERification

James Thorne, Andreas Vlachos, Christos Christodoulopoulos +1

In this paper we introduce a new publicly available dataset for verification against textual sources, FEVER: Fact Extraction and VERification. It consists of 185,445 claims generat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.