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.
Author: | Josef RuppenhoferGND, Jasper Brandes |
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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 |
DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
Open Access?: | ja |
Leibniz-Classification: | Sprache, Linguistik |
Linguistics-Classification: | Computerlinguistik |
Licence (German): | Urheberrechtlich geschützt |