Who is we? Disambiguating the referents of first person plural pronouns in parliamentary debates
- This paper investigates the use of first person plural pronouns as a rhetorical device in political speeches. We present an annotation schema for disambiguating pronoun references and use our schema to create an annotated corpus of debates from the German Bundestag. We then use our corpus to learn to automatically resolve pronoun referents in parliamentary debates. We explore the use of data augmentation with weak supervision to further expand our corpus and report preliminary results.
Author: | Ines RehbeinORCiDGND, Josef RuppenhoferORCiDGND, Julian BernauerORCiDGND |
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URN: | urn:nbn:de:bsz:mh39-106742 |
URL: | https://konvens2021.phil.hhu.de/wp-content/uploads/2021/09/2021.KONVENS-1.13.pdf |
Parent Title (English): | Proceedings of the 17th Conference on Natural Language Processing {KONVENS} 2021, Düsseldorf, Germany, September 6-9, 2021 |
Place of publication: | Düsseldorf |
Document Type: | Conference Proceeding |
Language: | English |
Year of first Publication: | 2021 |
Date of Publication (online): | 2021/09/16 |
Publishing Institution: | Leibniz-Institut für Deutsche Sprache (IDS) |
Publicationstate: | Veröffentlichungsversion |
Reviewstate: | Peer-Review |
Tag: | first person plural pronouns; rhetorical device |
GND Keyword: | Data Augmentation; Deutschland. Deutscher Bundestag; Korpus <Linguistik>; Parlamentsdebatte; Personalpronomen; Politische Rede; Rhetorik; wir |
Page Number: | 12 |
DDC classes: | 400 Sprache |
Open Access?: | ja |
Leibniz-Classification: | Sozialwissenschaften |
Leibniz-Classification: | Sprache, Linguistik |
Linguistics-Classification: | Angewandte Linguistik |
Program areas: | P2: Mündliche Korpora |
Licence (German): | ![]() |