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Deep Learning for NLP brings forth new and unprecedented challenges. While deep learning has been employed very successfully in image processing, the NLP community is still coming to terms with the ap...
Finding the right representations for words is critical for building accurate NLP systems when domain-specific labeled data for the task is scarce. This article investigates novel techniques fo...
The conference on Natural Language Processing and Chinese Computing (NLPCC) is the annual meeting of the CCF TCCI (Technical Committee of Chinese Information, China Computer Federation). NLPCC is a le...
The purpose of this study is to examine the current use of natural language processing for extracting meaningful data from free text in medical reports. The use of natural language processing has been...
The conference on Natural Language Processing and Chinese Computing (NLPCC) is the annual conference of CCF TCCI (Technical Committee of Chinese Information, China Computer Federation). The first and ...
The mission of the Asian Federation of Natural Language Processing (hereafter abbreviated as AFNLP) is to promote and enhance research and development relating to the computational analysis and the au...
Researches in Computational Linguistics (CL) and Natural Language Processing (NLP) have been increasingly dissociated from each other. Empirical techniques in NLP show good performances in some tasks ...
Due to the great needs of economic globalization and the rapid advancement of information technology, Natural Language Processing based on Knowledge Engineering has become one of the most attractive f...
The article surveys fifty years of work in computational language processing and machine translation, and suggests that a great number of the important ideas were present in the earliest days and hamp...

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