Political claim identification and categorization in a multilingual setting: First experiments
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Abstract (arXiv)
The identification and classification of political claims is an important step in the analysis of political newspaper reports; however, resources for this task are few and far between. This paper explores different strategies for the cross-lingual projection of political claims analysis. We conduct experiments on a German dataset, DebateNet2.0, covering the policy debate sparked by the 2015 refugee crisis. Our evaluation involves two tasks (claim identification and categorization), three languages (German, English, and French) and two methods (machine translation -- the best method in our experiments -- and multilingual embeddings).
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 8 of its 19 references that are in the map. First posted on arXiv 13 Oct 2023.
Builds on
8 of 19 references.
References · 8
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- 2019How multilingual is Multilingual BERT?cited by 645
- 2019Corpus Wide Argument Mining -- a Working Solutioncited by 36
- 2017What is the Essence of a Claim? Cross-Domain Claim Identificationcited by 32
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