'Gram language models' diaporamas de présentation

*Introduction to Natural Language Processing (600.465) Language Modeling (and the Noisy Channel)

*Introduction to Natural Language Processing (600.465) Language Modeling (and the Noisy Channel). Dr. Jan Haji? CS Dept., Johns Hopkins Univ. hajic@cs.jhu.edu www.cs.jhu.edu/~hajic. The Noisy Channel. Prototypical case:

1.35k views • 121 slides

*Introduction to Natural Language Processing (600.465) Language Modeling (and the Noisy Channel)

*Introduction to Natural Language Processing (600.465) Language Modeling (and the Noisy Channel). Dr. Jan Haji? CS Dept., Johns Hopkins Univ. hajic@cs.jhu.edu www.cs.jhu.edu/~hajic. The Noisy Channel. Prototypical case:

1.34k views • 121 slides

*Introduction to Natural Language Processing (600.465) Language Modeling (and the Noisy Channel)

*Introduction to Natural Language Processing (600.465) Language Modeling (and the Noisy Channel). Dr. Jan Haji? CS Dept., Johns Hopkins Univ. hajic@cs.jhu.edu www.cs.jhu.edu/~hajic. The Noisy Channel. Prototypical case:

1.21k views • 121 slides

Statistical NLP Winter 2009

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Information Retrieval and Web Search

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Introduction to Information Retrieval

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Relevance feedback revisited

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ITCS 6265 Information Retrieval and Web Mining

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Lecture 12: Language Models

Web Search and Mining. Lecture 12: Language Models. Recap. Probabilistic models: Binary independence model Bayesian networks for IR Language models. This lecture. The Language Model Approach to IR Basic query generation model Alternative models. Standard Probabilistic IR.

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LING/C SC 581: Advanced Computational Linguistics

LING/C SC 581: Advanced Computational Linguistics. Lecture Notes Jan 22 nd. Today's Topics. Minimum Edit Distance Homework Corpora: frequency information tregex. Minimum Edit Distance Homework. Background:

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Beyond Bags of Words: A Markov Random Field Model for Information Retrieval

Beyond Bags of Words: A Markov Random Field Model for Information Retrieval. Don Metzler. Bag of Words Representation. 71 the 31 garden 22 and 19 of 19 to 19 house 18 in 18 white 12 trees 12 first 11 a 11 president 8 for 7 as 7 gardens 7 rose 7 tour 6 on 6 was 6 east

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IR

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Representation: NL Descriptions, EMO20Q

Representation: NL Descriptions, EMO20Q. Q: Do you feel this emotion at Disneyland? A: no Q: Do you feel this emotion when you run over a dog? A: possibly, yes. Q: is it remorse? A: no Q: Do you feel this when someone close dies? A: Not necessarily, but you could I suppose

136 views • 7 slides