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自然语言处理中的结构化预测问题

Structured Prediction Problems in Natural Language Processing
课程网址: http://videolectures.net/icml08_collins_spp/  
主讲教师: William Cohen, Michael Collins
开课单位: 卡内基梅隆大学
开课时间: 2008-07-24
课程语种: 英语
中文简介:
在句法或语义层面上建模语言是自然语言处理中的关键问题,并且涉及一组具有挑战性的结构化预测问题。在本次演讲中,我将描述有关语法和语义的机器学习方法的工作,特别关注词汇化语法形式,如依赖语法,树邻接语法和分类语法。 ;我将解决以下领域的关键问题:1)结构化语言数据学习算法的设计; 2)这些学习算法中使用的表示的设计; 3)有效近似推理算法的设计对于词汇化语法,在精确推理可能非常昂贵的情况下。此外,我将描述机器翻译和自然语言接口的应用程序。
课程简介: Modeling language at the syntactic or semantic level is a key problem in natural language processing, and involves a challenging set of structured prediction problems. In this talk I'll describe work on machine learning approaches for syntax and semantics, with a particular focus on lexicalized grammar formalisms such as dependency grammars, tree adjoining grammars, and categorial grammars. ;I'll address key issues in the following areas: :1) the design of learning algorithms for structured linguistic data; :2) the design of representations that are used within these learning algorithms; :3) the design of efficient approximate inference algorithms for lexicalized grammars, in cases where exact inference can be very expensive. In addition, I'll describe applications to machine translation, and natural language interfaces.
关 键 词: 结构化预测; 依赖语法; 机器翻译
课程来源: 视频讲座网
最后编审: 2019-04-18:cwx
阅读次数: 70