'Evaluation metrics' diaporamas de présentation

Language Modeling

Language Modeling. Roadmap (for next two classes). Review LMs What are they? How (and where) are they used? How are they trained? Evaluation metrics Entropy Perplexity Smoothing Good-Turing Backoff and Interpolation Absolute Discounting Kneser -Ney. What is a language model?.

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Language Technologies (1)

ACAI 05 ADVANCED COURSE ON KNOWLEDGE DISCOVERY. Language Technologies (1). Diana Maynard University of Sheffield, UK. Text mining and the Semantic Web. What is Text Mining?. Text mining is about knowledge discovery from large collections of unstructured text.

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A Scalable Content Addressable Network

A Scalable Content Addressable Network. Sylvia Ratnasamy , Paul Francis, Mark Handley, Richard Karp, and Scott Shenker . 2001. Presented by: Ilya Mirsky, Alex Gorohovski. Outline. Introduction Basic Design Advanced Architecture Applications & Citations Discussion.

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Evaluation of Text Generation: Automatic Evaluation vs. Variation

Evaluation of Text Generation: Automatic Evaluation vs. Variation. Amanda Stent, Mohit Singhai, Matthew Marge. Natural Language Generation. Content Planning. Text Planning. Sentence Planning. Surface Realization. Approaches to Surface Realization. Template based Domain-specific

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Current Trends in MT

Current Trends in MT. Andy Way NCLT, School of Computing, Dublin City University, Dublin 9, Ireland away@computing.dcu.ie www.nclt.dcu.ie/mt/. Overview of Talk. Current Trends From EACL-06 to ACL-07 Topics Country of Origin Ongoing and Future Work at DCU Other Important Research

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Predicting information seeker satisfaction in community question answering

SIGIR 2008. Predicting information seeker satisfaction in community question answering. Yandong Liu, Jiang Bian , Eugene Agichtein from Emory & Georgia Tech University. CQA - Community Question Answering ?? ? ? ???????????????. IS ASKER IN QA COMMUNITY SATISFIED?.

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An Improved Wind Probability Program: A Year 2 Joint Hurricane Testbed Project Update

An Improved Wind Probability Program: A Year 2 Joint Hurricane Testbed Project Update. Mark DeMaria and John Knaff, NOAA/NESDIS, Fort Collins, CO Stan Kidder, CIRA/CSU, Fort Collins, CO Buck Sampson, NRL, Monterey, CA Chris Lauer and Chris Sisko, NCEP/TPC, Miami, FL. Presented at the

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Sensitivity of automated MT evaluation metrics on higher quality MT output

Sensitivity of automated MT evaluation metrics on higher quality MT output. BLEU vs. task-based evaluation methods. Bogdan Babych, Anthony Hartley {b.babych,a.hartley}@leeds.ac.uk Centre for Translation Studies University of Leeds, UK. Overview.

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DESIGNING FOR ADOPTION

DESIGNING FOR ADOPTION. Lena Mamykina, Lauren Wilcox, David Vawdrey Daniel Stein, Sarah Collins, Stewin Camargo Matt Fred, George Hripcsak, Steven Feiner. A Living Laboratory for Health IT. Outline. Background Innovation Cycle Project Overviews Insights to Share.

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General Ripple Mobility Model

General Ripple Mobility Model. Chun-Hung Chen 2006.05.16 Dept. of CSIE National Taipei University of Technology. Introduction. RMM-Previous Work. The problem with RMM. It can be described as the combination of two RWP mobility patterns The average speed can not be spread wide

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HanNanum Project

HanNanum Project. Sangwon Park 2010.11.24. Contents. The result of applying plug-in component based architecture Key differences with previous HanNanum ( jhannanum ver.0.7.4) GUI demo A measurement of the morphological analyzer Features of Korean morphological analysis

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Work Plan for Interim Planning Phase (Prior to Program Funding)

Work Plan for Interim Planning Phase (Prior to Program Funding). Planning Phase includes Interim Planning Phase (to funding event), Strategic Plan delivered and Operational Plan delivered (all due by 05/31/10)

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Discussion on Evaluation Metrics for 802.19.1

Discussion on Evaluation Metrics for 802.19.1. Authors:.

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Lecture 8

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BUS 375 Week 3 DQ 2 Evaluation Metrics

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Evaluating Evaluation Metrics for Ontology-Based Applications

Evaluating Evaluation Metrics for Ontology-Based Applications. Diana Maynard, Wim Peters, Yaoyong Li University of Sheffield, UK. Motivation Traditionally, Precision and Recall are used to evaluate IE systems, which gives a binary score for each entity found.

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