InFillmore: Frame-Guided Language Generation with Bidirectional Context

Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme


Abstract
We propose a structured extension to bidirectional-context conditional language generation, or “infilling,” inspired by Frame Semantic theory. Guidance is provided through one of two approaches: (1) model fine-tuning, conditioning directly on observed symbolic frames, and (2) a novel extension to disjunctive lexically constrained decoding that leverages frame semantic lexical units. Automatic and human evaluations confirm that frame-guided generation allows for explicit manipulation of intended infill semantics, with minimal loss in distinguishability from human-generated text. Our methods flexibly apply to a variety of use scenarios, and we provide an interactive web demo.
Anthology ID:
2021.starsem-1.12
Volume:
Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
Month:
August
Year:
2021
Address:
Online
Venues:
*SEM | ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
129–142
Language:
URL:
https://aclanthology.org/2021.starsem-1.12
DOI:
10.18653/v1/2021.starsem-1.12
Bibkey:
Cite (ACL):
Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, and Benjamin Van Durme. 2021. InFillmore: Frame-Guided Language Generation with Bidirectional Context. In Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, pages 129–142, Online. Association for Computational Linguistics.
Cite (Informal):
InFillmore: Frame-Guided Language Generation with Bidirectional Context (Ou et al., *SEM 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.starsem-1.12.pdf
Data
FrameNet