250 research outputs found
Hierarchical Gated Recurrent Neural Tensor Network for Answer Triggering
In this paper, we focus on the problem of answer triggering ad-dressed by
Yang et al. (2015), which is a critical component for a real-world question
answering system. We employ a hierarchical gated recurrent neural tensor
(HGRNT) model to capture both the context information and the deep
in-teractions between the candidate answers and the question. Our result on F
val-ue achieves 42.6%, which surpasses the baseline by over 10 %
THE INFLUENCE OF SOCIAL WORKER INCENTIVES ON THE COMPETENCE OF COMMUNICATION-IMPAIRED SOCIAL WORKERS
THE INFLUENCE OF SOCIAL WORKER INCENTIVES ON THE COMPETENCE OF COMMUNICATION-IMPAIRED SOCIAL WORKERS
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