Understand
Deep neural networks have been successfully applied to many text matching tasks, such as paraphrase identification, question answering, and machine translation.
- Although ad-hoc retrieval can also be formalized as a text matching task, few deep models have been tested on it.
- In this paper, we study a state-of-the-art deep matching model, namely MatchPyramid, on the ad-hoc retrieval task.
- The MatchPyramid model employs a convolutional neural network over the interactions between query and document to produce the matching score.
Built on
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R. Socher, E. H. Huang, J. Pennin, C. D. Manning, and A. Y. Ng · 2011
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