Policy Domain Prediction from Party Manifestos with Adapters and Knowledge Enhanced Transformers

Hsiao-Chu Yu, Ines Rehbein, Simone Paolo Ponzetto


Anthology ID:
2023.konvens-main.23
Volume:
Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
Month:
September
Year:
2023
Address:
Ingolstadt, Germany
Editors:
Munir Georges, Aaricia Herygers, Annemarie Friedrich, Benjamin Roth
Venue:
KONVENS
SIG:
Publisher:
Association for Computational Lingustics
Note:
Pages:
229–244
Language:
URL:
https://aclanthology.org/2023.konvens-main.23
DOI:
Bibkey:
Cite (ACL):
Hsiao-Chu Yu, Ines Rehbein, and Simone Paolo Ponzetto. 2023. Policy Domain Prediction from Party Manifestos with Adapters and Knowledge Enhanced Transformers. In Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), pages 229–244, Ingolstadt, Germany. Association for Computational Lingustics.
Cite (Informal):
Policy Domain Prediction from Party Manifestos with Adapters and Knowledge Enhanced Transformers (Yu et al., KONVENS 2023)
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PDF:
https://aclanthology.org/2023.konvens-main.23.pdf