'Trec' diaporamas de présentation

Lecture 12: Evaluation Intro

Prof. Ray Larson University of California, Berkeley School of Information Tuesday and Thursday 10:30 am - 12:00 pm Spring 2007 http://courses.ischool.berkeley.edu/i240/s07. Lecture 12: Evaluation Intro. Principles of Information Retrieval. Today. Mini-TREC Setup reports

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Is Relevance Associated with Successful Use of Information Retrieval Systems?

Is Relevance Associated with Successful Use of Information Retrieval Systems?. William Hersh Professor and Head Division of Medical Informatics & Outcomes Research Oregon Health & Science University hersh@ohsu.edu. Goal of talk.

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Some thoughts on failure analysis (success analysis) for CLIR

Some thoughts on failure analysis (success analysis) for CLIR. Donna Harman Scientist Emeritus National Institute of Standards and Technology. Welcome to the family!!. TREC. FIRE. Congratulations!!.

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Xin Li 1 , Yuan Wang 1 , Jie Ming 1 , Kun Zhao 1 , Ming Xue 2

Assimilation of T-TREC-retrieved wind data with WRF 3DVAR for the short-Term forecasting of Typhoon Meranti (2010) at landfall. Xin Li 1 , Yuan Wang 1 , Jie Ming 1 , Kun Zhao 1 , Ming Xue 2 1 The Key Laboratory of Mesoscale Severe Weather,

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Some Thoughts on Evaluation of Information Retrieval and its Impacts

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Tie-Breaking Bias: Effect of an Uncontrolled Parameter on Information Retrieval Evaluation

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Retrieval Evaluation - Reference Collections

Retrieval Evaluation - Reference Collections. Berlin Chen Department of Computer Science & Information Engineering National Taiwan Normal University. References: 1. Modern Information Retrieval . Chapter 3 2. Text REtrieval Conference . http://trec.nist.gov/. Premises.

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Retrieval Performance Evaluation

Retrieval Performance Evaluation. Modern Information Retrieval by R. Baeza-Yates and B. Ribeiro-Neto Addison-Wesley, 1999. (Chapter 3). Recall and Precision. Recall Precision Goal high recall and high precision. Recall and Precision. Precision Vs. Recall Figure.

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Retrieval Performance Evaluation

Retrieval Performance Evaluation. Modern Information Retrieval by R. Baeza-Yates and B. Ribeiro-Neto Addison-Wesley, 1999. (Chapter 3). Recall and Precision. Recall Precision Goal high recall and high precision. Recall and Precision. Precision Vs. Recall Figure.

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French Question Answering in Technical and Open Domains

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QA-LaSIE Components

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