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InFillmore: Frame-Guided Language Generation with Bidirectional Context

Infillmore: توليد اللغة الموجهة الإطار مع سياق ثنائي الاتجاه

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 Publication date 2021
and research's language is English
 Created by Shamra Editor




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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.

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