Erenay Dayanik, André Blessing, Nico Blokker, Sebastian Haunss, Jonas Kuhn, Gabriella Lapesa, Sebastian Padó. Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification. In Zornitsa Kozareva, Sujith Ravi, Andreas Vlachos 0001, Priyanka Agrawal, André F. T. Martins, editors, Proceedings of the 5th Workshop on Structured Prediction for NLP, SPNLP@ACL-IJCNLP 2021, Online, August 6, 2021. pages 53-60, Association for Computational Linguistics, 2021. [doi]
@inproceedings{DayanikBBHKLP21,
title = {Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification},
author = {Erenay Dayanik and André Blessing and Nico Blokker and Sebastian Haunss and Jonas Kuhn and Gabriella Lapesa and Sebastian Padó},
year = {2021},
url = {https://aclanthology.org/2021.spnlp-1.6},
researchr = {https://researchr.org/publication/DayanikBBHKLP21},
cites = {0},
citedby = {0},
pages = {53-60},
booktitle = {Proceedings of the 5th Workshop on Structured Prediction for NLP, SPNLP@ACL-IJCNLP 2021, Online, August 6, 2021},
editor = {Zornitsa Kozareva and Sujith Ravi and Andreas Vlachos 0001 and Priyanka Agrawal and André F. T. Martins},
publisher = {Association for Computational Linguistics},
isbn = {978-1-954085-75-6},
}