Who is we? Disambiguating the referents of first person plural pronouns in parliamentary debates
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 21 references that are in the map. First posted on arXiv 27 May 2022.
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References · 2
- 2017Snorkel: Rapid Training Data Creation with Weak Supervisioncited by 372
- 2016Data Programming: Creating Large Training Sets, Quicklycited by 246
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