• Information retrieval: search algorithms, information extraction, question answering, cross-lingual retrieval and multimedia retrieval.

    信息获取搜索算法、信息抽取、自动应答跨语言获取、多媒体获取。

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  • Then we employ Bayesian classifier to classify these questions. Answer extraction is the most crucial part for question answering system.

    本文采用叶斯分类器,提取问句主干以及包含疑问词的分支作为特征进行问题分类

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  • Candidate answer sentence extraction is an important part of answer extraction, which directly effects question answering system's performance.

    候选答案抽取问答系统中答案抽取重要组成部分质量直接影响问答系统性能。

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  • Then semantic roles of sentences are used in answer extraction of the question answering system, and it improves the system's accuracy.

    然后将语义角色信息用于问答系统答案抽取中,提高问答系统精度。

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  • Question answering system is composed of three parts which is question analysis, information retrieval and answer extraction.

    问答系统问题理解信息检索答案抽取三个部分组成。

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  • In addition, it can give great support to many NLP applications, such as information extraction, question and answering, machine translation and so on.

    同时能够问答系统、信息抽取机器翻译应用产生巨大帮助

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  • In general, a Question Answering system is made up of three parts: Question Analysis, Information Retrieval and Answer Extraction.

    自动问答系统一般包括三个主要组成部分问题分析信息检索答案抽取

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  • In general, a Question Answering system is made up of three parts: Question Analysis, Information Retrieval and Answer Extraction.

    自动问答系统一般包括三个主要组成部分问题分析信息检索答案抽取

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