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.
Author: | Josef RuppenhoferGND, Jasper Brandes, Petra SteinerORCiD, Michael Wiegand |
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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 |
DDC classes: | 400 Sprache / 410 Linguistik |
Open Access?: | ja |
BDSL-Classification: | Textwissenschaft |
Linguistics-Classification: | Computerlinguistik |
Licence (German): | ![]() |