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Creators/Authors contains: "Weir, N"

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  1. ; ; ; ; ; (, Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics)
    Accepted Manuscript Full Text Available
  2. ; ; ; ; (, Jurix Special Workshop on AI, Law and Philosophy)
    Accepted Manuscript Full Text Available
  3. ; ; ; ; (, JURIX 2023 workshop on AI, law and philosophy)
    Accepted Manuscript Full Text Available
  4. ; ; ; ; (, Proceedings of the 10th Conference on Lexical and Computational Semantics)
    null (Ed.)
    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 an interactive web demo 
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