ArgueBERT: How To Improve BERT Embeddings for Measuring the Similarity of Arguments

Anthology ID:: 2021.konvens-1.3
Volume:: Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)
Month:: 6--9 September
Year:: 2021
Address:: Düsseldorf, Germany
Editors:: Kilian Evang, Laura Kallmeyer, Rainer Osswald, Jakub Waszczuk, Torsten Zesch
Venue:: KONVENS
SIG:
Publisher:: KONVENS 2021 Organizers
Note:
Pages:: 28–36
Language:
URL:: https://aclanthology.org/2021.konvens-1.3
DOI:
Bibkey:
Cite (ACL):: Maike Behrendt and Stefan Harmeling. 2021. ArgueBERT: How To Improve BERT Embeddings for Measuring the Similarity of Arguments. In Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), pages 28–36, Düsseldorf, Germany. KONVENS 2021 Organizers.
Cite (Informal):: ArgueBERT: How To Improve BERT Embeddings for Measuring the Similarity of Arguments (Behrendt & Harmeling, KONVENS 2021)
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PDF:: https://preview.aclanthology.org/nschneid-patch-4/2021.konvens-1.3.pdf
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