Abstract
Natural Language Processing (NLP) and related technologies are critical for the success of many Internet applications such as digital libraries, e-commerce and customer service. This talk presents some recent research efforts and trends of four sets of NLP technologies for Internet applications. First, neural language model has been a very popular research direction in the last a few years that serves as the foundation of many NLP technologies and has significantly improved the performance of many applications; Second, machine translation techniques have been substantially advanced to better bridge the language barriers for many Internet applications; Third, the identification of inappropriate Internet text information (e.g., pornographic content) is a challenging research topic due to the diversified text representation; Fourth, machine reading comprehension has been become an important question and answering technology to directly satisfy information needs of many Internet users. These technologies will be discussed with examples from large-scale real-world applications.
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