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SNIPPET EXTRACTOR: RECURRENT NEURAL NETWORKS FOR TEXT SUMMARIZATION AT INDUSTRY SCALE
SNIPPET EXTRACTOR: RECURRENT NEURAL NETWORKS FOR TEXT SUMMARIZATION AT INDUSTRY SCALE
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机译:SNIPPET提取器:用于行业规模文本汇总的递归神经网络
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摘要
Systems, methods and media are provided for training a snippet extractor to create snippets based on information extracted from published descriptions. In one example, a computer-implemented method includes creating, based on a non-RNN (Recurrent Neural Network) extraction technique performed on the published descriptions, a plurality of base models, each base model including one or more sample description summaries; evaluating the base models using an evaluation technique; selecting an optimum base model; developing a classification model using RNN extraction, the classification model based on description summaries contained in the optimum base model; and using the classification model to train the snippet extractor by machine learning.
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