DOI:10.18653/v1/D16-1084
Corpus ID: 744471
Stance Detection with Bidirectional Conditional Encoding
Isabelle Augenstein, Tim Rocktäschel, +1 author Kalina Bontcheva
Published in EMNLP 2016
Computer Science
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 assumed that either… Expand
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212 Citations
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SemEval
Discriminative model
Unsupervised learning
Long short-term memory
Classification
Text corpus
Semiconductor industry
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212 Citations
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A dataset of quotes from Danish politicians is generated, label this dataset to allow the task of stance detection to be performed, and annotation guidelines are presented to allow further expansion of the generated dataset. Expand
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This paper presents a new multilingual dataset for stance detection in Twitter for the Catalan and Spanish languages, with the aim of facilitating research on stances detection in multilingual and cross-lingual settings.Expand
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Computer Science
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Computer Science
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Adam Faulkner
Computer ScienceFLAIRS Conference
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TLDR
A new approach to the automated classification of document-level argument stance, a relatively under-researched sub-task of Sentiment Analysis is presented, with significant increases in accuracy relative to two high baselines. Expand
72 Citations
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