Konferenzbeitrag
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.
- Sprache
-
Englisch
- Thema
-
Kompositum <Wortbildung>
Schimpfwort
Automatische Sprachanalyse
Sprache
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Wiegand, Michael
Wolf, Maximilian
Ruppenhofer, Josef
- Ereignis
-
Veröffentlichung
- (wer)
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Stroudsburg, PA, USA : The Association for Computational Linguistics
- (wann)
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2019-07-03
- URN
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urn:nbn:de:bsz:mh39-90185
- Letzte Aktualisierung
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2025-03-06T09:00:17+0100
Datenpartner
Dieses Objekt wird bereitgestellt von:
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Konferenzbeitrag
Beteiligte
- Wiegand, Michael
- Wolf, Maximilian
- Ruppenhofer, Josef
- Stroudsburg, PA, USA : The Association for Computational Linguistics
Entstanden
- 2019-07-03
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