7.1 汉语自动分词中的基本问题 7.2 基本分词方法 7.3 未登录词处理方法概述 7.4 基于多特征的命名实体识别模型 7.5 词性标注 7.6 词性标注的一致性检查与自动校对 7.7 汉语分词与词性标注系统评测
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• Probability & statistics • Basic concepts in information theory • Linear Algebra
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• Vector Space Model (VSM) • Latent Semantic Model (LSI) • Language Model (LM)
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• How to collect data from Web? – Build a Crawler – High Performance Web Crawler – Distributed Crawling/Incremental Crawling – State-of-art technology
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北京大学：《信息检索》课程教学资源（PPT课件讲稿）Course Overview（主讲：闫宏飞）
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• Reducing first-order inference to propositional inference • Unification • Generalized Modus Ponens • Forward chaining • Backward chaining • Resolution
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• Why FOL? • Syntax and semantics of FOL • Using FOL • Wumpus world in FOL • Knowledge engineering in FOL
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• Knowledge-based agents • Wumpus world • Logic in general - models and entailment • Propositional (Boolean) logic • Equivalence, validity, satisfiability • Inference rules and theorem proving – forward chaining – backward chaining – resolution
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• Optimal decisions • α-β pruning • Imperfect, real-time decisions
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