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Titlebook: Information Retrieval; 24th China Conferenc Shichao Zhang,Tie-Yan Liu,Chenliang Li Conference proceedings 2018 Springer Nature Switzerland

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Question-Answering Aspect Classification with Multi-attention Representation that our method for QA aspect classification, which is based on multi-attention representation, can make the most of useful information in answer texts and perform better than some strong baselines in QA aspect classification.
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Generative Paragraph Vectorn of Paragraph Vector with a complete generative process. By defining the generation model over texts, we further incorporate text labels into the model and turn it into a supervised version, namely Supervised Generative Paragraph Vector. Experiments on five text classification benchmark collections
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Zhaohui Li,Jun Xu,YanYan Lan,Jiafeng Guo,Yue Feng,Xueqi Chengya. Once astate of emergency had been declared, officials struggled to find the right combination of methods, strategy and management structures to eliminate the threat posed by the Communist insurgents. This b978-3-030-16695-3Series ISSN 2731-6807 Series E-ISSN 2731-6815
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Xiaomei Liu,Suqin Tang,Jinyan Wang are discussed at length, within the broader context of legal and ethical issues in cyber counterintelligence..This book is designed for professionals working in the intelligence, law enforcement or cybersecuri978-3-031-35289-8978-3-031-35287-4
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