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Ordering adverbs by their scaling effect on adjective intensity

  • In recent years, theoretical and computational linguistics has paid much attention to linguistic items that form scales. In NLP, much research has focused on ordering adjectives by intensity (tiny < small). Here, we address the task of automatically ordering English adverbs by their intensifying or diminishing effect on adjectives (e.g. extremely small < very small). We experiment with 4 different methods: 1) using the association strength between adverbs and adjectives; 2) exploiting scalar patterns (such as not only X but Y); 3) using the metadata of product reviews; 4) clustering. The method that performs best is based on the use of metadata and ranks adverbs by their scaling factor relative to unmodified adjectives.
Metadaten
Author:Josef RuppenhoferGND, Jasper Brandes, Petra SteinerORCiD, Michael Wiegand
URN:urn:nbn:de:bsz:mh39-52052
URL:http://lml.bas.bg/ranlp2015/docs/RANLP_main.pdf
ISSN:1313-8502
Parent Title (English):International Conference Recent Advances in Natural Language Processing
Publisher:INCOMA Ltd.
Place of publication:Shoumen
Document Type:Conference Proceeding
Language:English
Year of first Publication:2015
Date of Publication (online):2016/08/25
Publicationstate:Veröffentlichungsversion
GND Keyword:Adverb; Automatische Sprachanalyse; Diminutiv; Englisch; Intensivierung
First Page:545
Last Page:554
Dewey Decimal Classification:400 Sprache / 410 Linguistik
BDSL-Classification:Textwissenschaft
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Open Access?:Ja
Licence (German):Es gilt das UrhG