'Latent semantic analysis lsa' diaporamas de présentation

Multi-Relational Latent Semantic Analysis .

Multi-Relational Latent Semantic Analysis. Kai-Wei Chang Joint work with Scott Wen-tau Yih, Chris Meek Microsoft Research. Natural Language Understanding. Build an intelligent system that can interact with human using natural language Research challenge Meaning representation of text

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EssayCritic: A Computer Supported English Essay Critiquing System using Latent Semantic Analysis

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Introduction to Machine Learning for Information Retrieval

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Probabilistic inference in human semantic memory Mark Steyvers , Tomas L. Griffiths, and Simon Dennis

TRENDS in Cognitive Sciences vol. 10, no. 7, 2006. Probabilistic inference in human semantic memory Mark Steyvers , Tomas L. Griffiths, and Simon Dennis. ????????? ???. Overview . Relational models of memory The Retrieving Effectively from Memory(REM) Model

329 views • 19 slides

An Interface for navigating clustered document sets returned by queries

An Interface for navigating clustered document sets returned by queries. Robert Allen, Pascal Obry & Michael Littman. presented by: Anna Hunecke. Overview. Information Retrieval The Interface The procedure Results Discussion. Information Retrieval (IR).

298 views • 18 slides

Computer assisted assessment of essays

Computer assisted assessment of essays. Advantages Reduces costs of assessment Less staff is needed for assessment tasks Increases objectivity More than one assessor can be used without doubling the costs Automated marking is not prone to human error Instant feedback Helps students

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The Probabilistic Model

The Probabilistic Model. Objective: to capture the IR problem using a probabilistic framework; Given a user query, there is an ideal answer set; Querying as specification of the properties of this ideal answer set (clustering); But, what are these properties?

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CNS: NSDL Service to Support Personalized & Community-Oriented Navigation

99 views • 1 slides