'Content selection' diaporamas de présentation

Natural Language Processing for the Web

Natural Language Processing for the Web. Prof. Kathleen McKeown 722 CEPSR, 939-7118 Office Hours: Wed, 1-2; Tues 4-5 TA: Yves Petinot 719 CEPSR, 939-7116 Office Hours: Thurs 12-1, 8-9. Projects. Proposal due today Hand in via courseworks (by midnight). Today.

747 views • 62 slides

S. Sekkhunthod Rajabhat Rajanagarindra U.

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Sonja de Leeuw Sonja de Leeuw EVA/MINERVA 16 November 2010

Sonja de Leeuw Connecting televisual archival material and users in the online audiovisual European platform EUscreen. Sonja de Leeuw Sonja de Leeuw EVA/MINERVA 16 November 2010. EUscreen Exploring European Television Heritage in Changing Contexts. Heritage, Memory, Identity.

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Future Of IP Services

Future Of IP Services. Alex Vishnev(CTO VOIP SERVICES) Frederic Kunzi(CTO/CIO). AGENDA. Introduction IP Services Market Overview What are they? Review of Services Provider Perspective Consumer Perspective Technology Architecture/Protocols IMS ( IP Multi-Media Subsystem) OSS/Billing.

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The Curriculum Models and Definitions

The Curriculum Models and Definitions. Goal: Explore a variety of program and curriculum definitions as well as ways to plan so you may determine what best fits your style and school/organization. What is a curriculum? What is a program? A set of materials A sequence of courses/projects

1.15k views • 35 slides

Natural Language Generation 74.793 Research Presentation

Natural Language Generation 74.793 Research Presentation. Presenter Shamima Mithun. Overview. Introduction What is Natural Language Generation (NLG)? Usages of Natural Language Generation When NLG Systems are appropriate? Applications of NLG Example NLG System Architectures for NLG

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EPSY 625 LECTURE 3

EPSY 625 LECTURE 3. COGNITIVE ASSESSMENT. AFFECT. TASK DEMANDS: STRUCTURING COGNITIVE TESTS. TYPES ARTIFICIAL ANALOG ACTUAL TESTS: 1. ACHIEVEMENT 2. INTELLIGENCE. TASK TYPES. ARTIFICIAL- intended to assess response to novel conditions not encountered before

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Math-Bridge European Remedial Content for Mathematics

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Summary Generation Keith Trnka

Summary Generation Keith Trnka. The approach. Apply Marcu's basic summarizer (1999) to perform content selection Re-generate the selected content so that it's more natural. RST Refresher. A text is composed of elementary discourse units (EDUs)

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Communicating Effectively

Communicating Effectively. Ways to Communicate . Verbal Oral Written Non-Verbal Gestures Body Language. How do we communicate?. Smell. Touch. Visual. Audio. Taste. Our Senses help us in communicating. Eye (Visual) Ear (Audio) Nose (Smell) Tongue (Taste) Skin (Touch ).

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E-books in Libraries: Big Dreams Meet Reality

E-books in Libraries: Big Dreams Meet Reality. Sue Polanka. Wright State University Libraries. No Shelf Required. @ spolanka. What are your big dreams?. Good Content. Control. Copy Paste. Consortia. Preserve. ILL. No Limits. No Fees. e Book s. Access. No DRM. Share.

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Developing Online Patron Tutorials

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Reporter: Ph.d candidate He Ruifang rfhe@ir.hit Information Retrieval Lab

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Video Active and the European Digital Library

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Video Active and the European Digital Library

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Project Presentation

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Interactive Storytelling Architecture for Training

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Faculty Meeting

Faculty Meeting. Wednesday, January 16, 2008 Lorelei Coddington CGU. Agenda. Welcome TPA Task 3 Assessing Learning TPA Task 3 Calibration LUNCH Small Group Discussion/Planning Task 4 Culminating Teaching Experience. Review Task 3 Assessing Learning.

259 views • 15 slides

Automatic Evaluation of Linguistic Quality in Multi-Document Summarization

Automatic Evaluation of Linguistic Quality in Multi-Document Summarization. Pitler , Louis, Nenkova 2010 Presented by Dan Feblowitz and Jeremy B. Merrill. Motivation. Automatic evaluation of content selection is already done.

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Cognitive Digital Marketing Return on Investment

277 views • 14 slides