InFillmore: Frame-Guided Language Generation with Bidirectional Context

This is the authors' abstract. We don't add key points for this paper.

We propose a structured extension to bidirectional-context conditional language generation, or "infilling," inspired by Frame Semantic theory 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 an interactive web demo. 1