Generating Lexical Representations of Frames using Lexical Substitution

Saba Anwar, Artem Shelmanov, Alexander Panchenko, Chris Biemann


Abstract
Semantic frames are formal linguistic structures describing situations/actions/events, e.g. Commercial transfer of goods. Each frame provides a set of roles corresponding to the situation participants, e.g. Buyer and Goods, and lexical units (LUs) – words and phrases that can evoke this particular frame in texts, e.g. Sell. The scarcity of annotated resources hinders wider adoption of frame semantics across languages and domains. We investigate a simple yet effective method, lexical substitution with word representation models, to automatically expand a small set of frame-annotated sentences with new words for their respective roles and LUs. We evaluate the expansion quality using FrameNet. Contextualized models demonstrate overall superior performance compared to the non-contextualized ones on roles. However, the latter show comparable performance on the task of LU expansion.
Anthology ID:
2020.pam-1.13
Volume:
Proceedings of the Probability and Meaning Conference (PaM 2020)
Month:
June
Year:
2020
Address:
Gothenburg
Venue:
PaM
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
95–103
Language:
URL:
https://www.aclweb.org/anthology/2020.pam-1.13
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.pam-1.13.pdf