'Semantic constraints' diaporamas de présentation

Reference Resolution

691 views • 53 slides

Discourse: Reference

Discourse: Reference. Ling571 Deep Processing Techniques for NLP March 2, 2011. What is a Discourse?. Discourse is: Extended span of text Spoken or Written One or more participants Language in Use Goals of participants Processes to produce and interpret. Why Discourse? .

1.63k views • 52 slides

Replication: optimistic approaches

Replication: optimistic approaches. Marc Shapiro with Yasushi Saito (HP Labs). Cambridge Distributed Systems Group. Motivations for this work. Peer-to-peer, decentralised write sharing Lessons and commonalities Understand limitations Different solutions: spectrum or discrete points?

608 views • 49 slides

Chapter 3 The Semantic Web

Chapter 3 The Semantic Web. Introduction . Video http://www.youtube.com/watch?v=OGg8A2zfWKg&feature=related Application of SW http://www.youtube.com/watch?v=X6WcpG5EEeI&feature=related. The Semantic Web . Initiated by Tim Berners-Lee, the inventor of the World Wide Web.

437 views • 35 slides

The Next 700 Data Description Languages

The Next 700 Data Description Languages. Yitzhak Mandelbaum, David Walker Princeton University Kathleen Fisher AT&T Labs Research. Data, data everywhere!. Incredible amounts of data stored in well-behaved formats:. Databases:. Tools Schema Browsers Query languages Standards Libraries

469 views • 32 slides

Extracting Semantic Constraint from Description Text for Semantic Web Service Discovery

Extracting Semantic Constraint from Description Text for Semantic Web Service Discovery. Dengping Wei, Ting Wang, Ji Wang, and Yaodong Chen Reporter: Ting Wang Department of Computer Science and Technology School of Computer National University of Defense Technology, China

512 views • 32 slides

Reference Resolution Approaches

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Design Heuristics

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Design Heuristics

316 views • 31 slides

Reference Resolution

Reference Resolution. CMSC 35900-1 Discourse and Dialogue September 30, 2004. Agenda. Coherence: Holding discourse together Coherence types and relations Reference resolution Knowledge-rich, deep analysis approaches Lappin&Leass, Centering, Hobbs

735 views • 28 slides

Arthur Riel Design Heuristics

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The psychology of design: Memory

The psychology of design: Memory. CS774 Human-Computer Interaction Spring 2004. Prelim: Information Theory. Which is easier to remember? 1111111111 1823594760 Entropy ~ number of bits to encode each symbol High entropy - many bits, much information

368 views • 24 slides

Learning linguistic structure with simple recurrent networks

327 views • 24 slides

Coherence and Coreference

Coherence and Coreference. Introduction to Discourse and Dialogue CS 359 October 2, 2001. Publicly Available Telephone Demos. Nuance http://www.nuance.com/demo/index.html Banking: 1-650-847-7438 Travel Planning: 1-650-847-7427 Stock Quotes: 1-650-847-7423

460 views • 23 slides

Coherence and Coreference

Coherence and Coreference. Introduction to Discourse and Dialogue CS 359 October 2, 2001. Publicly Available Telephone Demos. Nuance http://www.nuance.com/demo/index.html Banking: 1-650-847-7438 Travel Planning: 1-650-847-7427 Stock Quotes: 1-650-847-7423

260 views • 23 slides

DOET 4

DOET 4. Knowing what to do. Knowing what to do. A design signals how it is to be used Natural physical constraints Affordances suggest possibilities Constraints limit the possibilities The chess example:

245 views • 12 slides

Translating Relational Schemas to XML Schemas

Translating Relational Schemas to XML Schemas. Dongwon Lee, Murali Mani, Frank Chiu, Wesley. W. Chu UCLA. Our goals. Map from relational to XML model automatically. Maintain semantic constraints during the mapping.

263 views • 10 slides