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Isabelle Augenstein

University of Copenhagen

112 papers hereh-index 437.9k citations151 works total

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

author position
  • sole author2
  • first author7
  • middle author29
  • last author74

Across the 112 of 112 papers where every author was matched, so the position is known.

fields
  • cs.CL99
  • cs.LG6
  • cs.AI2
  • cs.SI2
  • cs.DL1
  • cs.IR1
affiliations
  • University of Copenhagen
Homepage
same name
  • Isabelle Augenstein — 11 papers, h 7
  • Isabelle Augenstein — 11 papers, h 4
  • Isabelle Augenstein — 7 papers, h 2
  • Isabelle Augenstein — 6 papers, h 3
  • Isabelle Augenstein — 4 papers, h 2
  • Isabelle Augenstein — 2 papers

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
20152024
most citedA simple but tough-to-beat baseline for the Fake News Challenge stance detection task

201 citations · 1k across the 85 of their papers we have counts for

collaborators
Showing 2016Show all

3 papers · 1 filter

cs.CL2016★ 90 cited

emoji2vec: Learning Emoji Representations from their Description

Ben Eisner, Tim Rocktäschel, Isabelle Augenstein +2

Many current natural language processing applications for social media rely on representation learning and utilize pre-trained word embeddings. There currently exist several public…

cs.CL2016

Numerically Grounded Language Models for Semantic Error Correction

Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel

Semantic error detection and correction is an important task for applications such as fact checking, speech-to-text or grammatical error correction. Current approaches generally fo…

cs.CL2016

Stance Detection with Bidirectional Conditional Encoding

Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos +1

Stance detection is the task of classifying the attitude expressed in a text towards a target such as Hillary Clinton to be "positive", negative" or "neutral". Previous work has as…

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