Papers with verb class clustering task

1 papers
Unsupervised Semantic Frame Induction using Triclustering (P18-2)

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Challenge: Recent work on frame-semantics has enabled the development of wide-coverage frame parsers using supervised learning.
Approach: They propose to use dependency triples to perform unsupervised frame induction on a Web-scale corpus.
Outcome: The proposed approach performs state-of-the-art on a FrameNet-derived dataset and performs on par with competitive methods on . verb class clustering task.

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