Papers by Erin Bennett

1 papers
DisSent: Learning Sentence Representations from Explicit Discourse Relations (P19-1)

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Challenge: Existing models train on vast amounts of text or require costly, manually curated datasets.
Approach: They propose to leverage the discourse relations between sentences to curate a high quality sentence relation task by leveraging explicit discourse relations.
Outcome: The proposed model can be used to learn the meaning of two sentences in a bidirectional LSTM sentence encoder.

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