Feature Structures in the Wild: A Case Study in Mixing Traditional Linguistic Knowledge Representation with Neural Language Models

Gerald Penn, Ken Shi


Anthology ID:
2021.cstfrs-1.6
Volume:
Proceedings of the ESSLLI 2021 Workshop on Computing Semantics with Types, Frames and Related Structures
Month:
July
Year:
2021
Address:
Utrecht, The Netherlands (online)
Editors:
Stergios Chatzikyriakidis, Rainer Osswald
Venue:
CSTFRS
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
53–59
Language:
URL:
https://aclanthology.org/2021.cstfrs-1.6
DOI:
Bibkey:
Cite (ACL):
Gerald Penn and Ken Shi. 2021. Feature Structures in the Wild: A Case Study in Mixing Traditional Linguistic Knowledge Representation with Neural Language Models. In Proceedings of the ESSLLI 2021 Workshop on Computing Semantics with Types, Frames and Related Structures, pages 53–59, Utrecht, The Netherlands (online). Association for Computational Linguistics.
Cite (Informal):
Feature Structures in the Wild: A Case Study in Mixing Traditional Linguistic Knowledge Representation with Neural Language Models (Penn & Shi, CSTFRS 2021)
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https://preview.aclanthology.org/nschneid-patch-4/2021.cstfrs-1.6.pdf