Konferenzbeitrag
Lexical semantic change discovery
While there is a large amount of research in the field of Lexical Semantic Change Detection, only few approaches go beyond a standard benchmark evaluation of existing models. In this paper, we propose a shift of focus from change detection to change discovery, i.e., discovering novel word senses over time from the full corpus vocabulary. By heavily fine-tuning a type-based and a token-based approach on recently published German data, we demonstrate that both models can successfully be applied to discover new words undergoing meaning change. Furthermore, we provide an almost fully automated framework for both evaluation and discovery.
- Sprache
-
Englisch
- Thema
-
Wortschatz
Semantik
Sprachwandel
Semasiologie
Deutsch
Korpus <Linguistik>
Sprache
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Kurtyigit, Sinan
Park, Maike
Schlechtweg, Dominik
Kuhn, Jonas
Schulte im Walde, Sabine
- Ereignis
-
Veröffentlichung
- (wer)
-
Stroudsburg : Association for Computational Linguistics
Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
- (wann)
-
2021-09-24
- URN
-
urn:nbn:de:bsz:mh39-106930
- Letzte Aktualisierung
-
06.03.2025, 09:00 MEZ
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
- Kurtyigit, Sinan
- Park, Maike
- Schlechtweg, Dominik
- Kuhn, Jonas
- Schulte im Walde, Sabine
- Stroudsburg : Association for Computational Linguistics
- Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
Entstanden
- 2021-09-24
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