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- W2964341808 abstract "Asking effective questions is a powerful social skill. In this paper we seek to build computational models that learn to discriminate effective questions from ineffective ones. Armed with such a capability, future advanced systems can evaluate the quality of questions and provide suggestions for effective question wording. We create a large-scale, real-world dataset that contains over 400,000 questions collected from Reddit Ask Me Anything threads. Each thread resembles an online press conference where questions compete with each other for attention from the host. This dataset enables the development of a class of computational models for predicting whether a question will be answered. We develop a new convolutional neural network architecture with variable-length context and demonstrate the efficacy of the model by comparing it with state-of-the-art baselines and human judges." @default.
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- W2964341808 date "2018-05-01" @default.
- W2964341808 modified "2023-09-27" @default.
- W2964341808 title "A Study of Question Effectiveness Using Reddit Ask Me Anything Threads." @default.
- W2964341808 hasPublicationYear "2018" @default.
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