Bye, Bye, Maintenance Work? Using Model Cloning to Approximate the Behavior of Legacy Tools

Piush Aggarwal, Torsten Zesch


Anthology ID:
2022.konvens-1.21
Volume:
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022)
Month:
12--15 September
Year:
2022
Address:
Potsdam, Germany
Editors:
Robin Schaefer, Xiaoyu Bai, Manfred Stede, Torsten Zesch
Venue:
KONVENS
SIG:
Publisher:
KONVENS 2022 Organizers
Note:
Pages:
175–180
Language:
URL:
https://aclanthology.org/2022.konvens-1.21
DOI:
Bibkey:
Cite (ACL):
Piush Aggarwal and Torsten Zesch. 2022. Bye, Bye, Maintenance Work? Using Model Cloning to Approximate the Behavior of Legacy Tools. In Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), pages 175–180, Potsdam, Germany. KONVENS 2022 Organizers.
Cite (Informal):
Bye, Bye, Maintenance Work? Using Model Cloning to Approximate the Behavior of Legacy Tools (Aggarwal & Zesch, KONVENS 2022)
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PDF:
https://aclanthology.org/2022.konvens-1.21.pdf