Papers by Vishwas Suryanarayanan

    1 papers
    ScopeIt: Scoping Task Relevant Sentences in Documents (2020.coling-industry)

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    Challenge: a problem faced by conversational agents working with large documents is the frequent presence of information that is irrelevant to the agent.
    Approach: They propose a neural model for scoping relevant information from a large document . they show that the model performs better with emails than existing baselines .
    Outcome: The proposed model improves intent detection and entity extraction tasks without drop in recall.

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