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arXiv · 2103.04941

InFillmore: Frame-Guided Language Generation with Bidirectional Context

Jiefu Ou·Nathaniel Weir·Anton Belyy·Felix Yu·Benjamin Van Durme
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Abstract

We propose a structured extension to bidirectional-context conditional language generation, or "infilling," inspired by Frame Semantic theory (Fillmore, 1976). Guidance is provided through 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 a codebase and interactive demo available from https://nlp.jhu.edu/demos/infillmore.

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Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme. 2021-03-08. InFillmore: Frame-Guided Language Generation with Bidirectional Context. https://arxiv.org/abs/2103.04941

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