Detecting derogatory compounds – an unsupervised approach
- We examine the new task of detecting derogatory compounds (e.g. curry muncher). Derogatory compounds are much more difficult to detect than derogatory unigrams (e.g. idiot) since they are more sparsely represented in lexical resources previously found effective for this task (e.g. Wiktionary). We propose an unsupervised classification approach that incorporates linguistic properties of compounds. It mostly depends on a simple distributional representation. We compare our approach against previously established methods proposed for extracting derogatory unigrams.
Download full text files
Additional Services
Statistics
| Author: | Michael Wiegand, Maximilian Wolf, Josef Ruppenhofer |
|---|---|
| URN: | urn:nbn:de:bsz:mh39-90185 |
| URL: | https://www.aclweb.org/anthology/N19-1211 |
| ISBN: | 978-1-950737-13-0 |
| Parent Title (English): | The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Proceedings of the Conference Vol. 1. Minneapolis, Minnesota, June 2 - June 7, 2019 |
| Publisher: | The Association for Computational Linguistics |
| Place of publication: | Stroudsburg, PA, USA |
| Editor: | Jill Burstein, Christy Doran, Thamar Solorio |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of first Publication: | 2019 |
| Date of Publication (online): | 2019/07/03 |
| Publicationstate: | Veröffentlichungsversion |
| Reviewstate: | Peer-Review |
| GND Keyword: | Automatische Sprachanalyse; Kompositum <Wortbildung>; Schimpfwort |
| First Page: | 2076 |
| Last Page: | 2081 |
| DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
| Open Access?: | ja |
| Leibniz-Classification: | Sprache, Linguistik |
| Linguistics-Classification: | Computerlinguistik |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |