Papers with end-to-end reinforcement learning approach

    1 papers
    End-to-End Reinforcement Learning for Automatic Taxonomy Induction (P18-1)

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    Challenge: Existing methods for automating taxonomy induction often divide the problem into two subtasks . a novel end-to-end reinforcement learning approach is proposed to improve the accuracy of such methods.
    Approach: They propose an end-to-end reinforcement learning approach to automatic taxonomy induction from a set of terms.
    Outcome: The proposed approach outperforms state-of-the-art methods on two public datasets of different domains.

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