Predicative Adjectives: An Unsupervised Criterion to Extract Subjective Adjectives
- We examine predicative adjectives as an unsupervised criterion to extract subjective adjectives. We do not only compare this criterion with a weakly supervised extraction method but also with gradable adjectives, i.e. another highly subjective subset of adjectives that can be extracted in an unsupervised fashion. In order to prove the robustness of this extraction method, we will evaluate the extraction with the help of two different state-of-the-art sentiment lexicons (as a gold standard).
Author: | Michael Wiegand, Josef RuppenhoferGND, Dietrich Klakow |
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URN: | urn:nbn:de:bsz:mh39-52333 |
ISBN: | 978-1-937284-47-3 |
Parent Title (English): | Proceedings of HLT-NAACL 2013 |
Publisher: | Association for Computational Linguistics |
Place of publication: | Atlanta |
Document Type: | Conference Proceeding |
Language: | English |
Year of first Publication: | 2013 |
Date of Publication (online): | 2016/09/01 |
Publicationstate: | Veröffentlichungsversion |
Reviewstate: | Peer-Review |
Tag: | gradable adjectives; predicative adjectives; separation of adjectives |
GND Keyword: | Automatische Sprachanalyse; Prädikatives Adjektiv; Semantische Analyse |
First Page: | 534 |
Last Page: | 539 |
DDC classes: | 400 Sprache / 410 Linguistik |
Open Access?: | ja |
Linguistics-Classification: | Computerlinguistik |
Licence (German): | Urheberrechtlich geschützt |