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Verifying the robustness of opinion inference

  • There is increasing interest in recognizing opinion inferences in addition to expressions of explicit sentiment. While different formalisms for representing inferential mechanisms are being developed and lexical resources are being built alongside, we here address the need for deeper investigation of the robustness of various aspects of opinion inference, performing crowdsourcing experiments with constructed stimuli as well as a corpus study of attested data.

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Metadaten
Author:Josef RuppenhoferGND, Jasper Brandes
URN:urn:nbn:de:bsz:mh39-55032
URL:https://www.linguistics.ruhr-uni-bochum.de/bla/
ISSN:2190-0949
Parent Title (English):Proceedings of the 13th Conference on Natural Language Processing (KONVENS 2016)
Series (Serial Number):Bochumer Linguistische Arbeitsberichte (16)
Publisher:Ruhr-Universität Bochum
Place of publication:Bochum
Editor:Stefanie Dipper, Friedrich Neubarth, Heike Zinsmeister
Document Type:Part of a Book
Language:English
Year of first Publication:2016
Date of Publication (online):2016/11/08
Publicationstate:Veröffentlichungsversion
Reviewstate:(Verlags)-Lektorat
Tag:Opinion Inference; Opinion Mining; Sentiment Analysis
First Page:226
Last Page:235
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Open Access?:Ja
Licence (German):Es gilt das UrhG