FrameNet+: Fast Paraphrastic Tripling of FrameNet

نویسندگان

  • Ellie Pavlick
  • Travis Wolfe
  • Pushpendre Rastogi
  • Chris Callison-Burch
  • Mark Dredze
  • Benjamin Van Durme
چکیده

We increase the lexical coverage of FrameNet through automatic paraphrasing. We use crowdsourcing to manually filter out bad paraphrases in order to ensure a high-precision resource. Our expanded FrameNet contains an additional 22K lexical units, a 3-fold increase over the current FrameNet, and achieves 40% better coverage when evaluated in a practical setting on New York Times data.

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تاریخ انتشار 2015