Papers by Libin Shi

1 papers
Sequential Attention with Keyword Mask Model for Community-based Question Answering (N19-1)

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Challenge: Existing methods to model answer selection(AS) are based on feature engineering and resource toolkits.
Approach: They propose a model that captures features and information from question and answer text and repeats multiple times(hops) in a sequential fashion.
Outcome: The proposed model performs on answer selection tasks and multi-level answer ranking tasks.

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