'Semantic knowledge' diaporamas de présentation

Using Type Inference and Induced Rules to Provide Intensional Answers

Using Type Inference and Induced Rules to Provide Intensional Answers. Wesley W. Chu Rei-Chi Lee Qiming Chen. What is Intensional Answer?. Intensional answer to a query provides the characteristics that describes the database values (the extensional answers ) that satisfy the query

2.88k views • 265 slides

Perceptual Categories: Old and gradient, young and sparse.

Perceptual Categories: Old and gradient, young and sparse. Bob McMurray University of Iowa Dept. of Psychology. Collaborators. Richard Aslin Michael Tanenhaus David Gow. Joe Toscano Cheyenne Munson Meghan Clayards Dana Subik Julie Markant Jennifer Williams.

1.91k views • 156 slides

Re-examining episodic amnesia with patient and fMRI studies

Re-examining episodic amnesia with patient and fMRI studies. Jenny Rabin Neuropsychology Rounds September 9, 2013. What is Amnesia?. Impaired Abilities Episodic memory (EM). Spared Abilities General intelligence Semantic m emory Procedural memory Working memory Attention. Amnesia.

1.07k views • 92 slides

660 views • 57 slides

662 views • 57 slides

Image Segmentation: beyond Graph Cuts

985 views • 48 slides

Memory-based learning for noun phrase coreference resolution

Memory-based learning for noun phrase coreference resolution. Veronique Hoste. Outline. Noun phrase coreference resolution Definition Why? Problems A memory-based learning approach. Definition (Hirst, 81).

590 views • 44 slides

Emergence of Semantic Knowledge from Experience

Emergence of Semantic Knowledge from Experience. Jay McClelland Stanford University. Approaches to Understanding Intelligence. Symbolic approaches explicit symbolic structures structure-sensitive rules discrete computations even if probabilistic Emergence-based approaches

587 views • 41 slides

A modality lexicon and its use in automatic tagging

A modality lexicon and its use in automatic tagging. Kathryn Baker, Michael Bloodgood , Bonnie Dorr, Nathanial W. Filardo , Lori Levin , Christine Piatko May 20, 2010 Presented by Lori Levin Language Technologies Institute Carnegie Mellon University. Context. SCALE 2009

522 views • 38 slides

In previous lectures (especially when discussing the inner ear),

523 views • 33 slides

SITUATIONAL AWARENESS FOR FIRE FIGHTERS (SAFIRE)

663 views • 24 slides

Semantic Web

Semantic Web. Quratulain Rajput Faculty of Computer Science, IBA Spring2013. Semantic Web Technologies. How thing can be identified How knowledge can be expressed

320 views • 23 slides

Computational linguistics

Computational linguistics. A brief overview. Computational Linguistics. might be considered as a synonym of automatic processing of natural language, since the main task of computational linguistics is just the construction of computer programs to process words and texts in natural language.

456 views • 19 slides

Materi Pertemuan Ke-2

Materi Pertemuan Ke-2. Teori, Prinsip, dan Pedoman. Teori Tingkat Tinggi : Four Level Approach to design a piece of software or system. ( Foley dan Van Dam ). Conceptual When a user is working on an interactive system, a mental model is often developed Semantic

364 views • 19 slides

Multi-Phase Reasoning of temporal semantic knowledge

Multi-Phase Reasoning of temporal semantic knowledge . Sakirulai O. Isiaq and Taha Osman School of Computer and Informatics Nottingham Trent University Nottingham United Kingdom. Outlines. Dynamics of information (the web) Application example Possible solution Semantic Web

249 views • 15 slides

Bringing new technologies for a knowledge based society

Bringing new technologies for a knowledge based society. Mondeca : from origins to now. Founding 1,5M€. 4. ITM specification. 4. First prototypes. ITM development.

277 views • 14 slides

Third Recognizing Textual Entailment Challenge

Third Recognizing Textual Entailment Challenge. Potential SNeRG Submission. RTE3 Quick Notes. RTE Web Site: http://www.pascal-network.org/Challenges/RTE3/ Textual Entailment resource pool: http://aclweb.org/aclwiki/index.php?title=Textual_Entailment_Resource_Pool

277 views • 12 slides

LONG TERM MEMORY

LONG TERM MEMORY. Procedural Knowledge - knowing how to do things Semantic Knowledge - knowing things Episodic Knowledge - remembering things. Transfer from STM to LTM. Importance of processing - phonological and visuo-spatial processing Importance of elaboration

206 views • 5 slides

In-file Metadata Considerations

In-file Metadata Considerations . David Malon malon@anl.gov Argonne National Laboratory 22February 2012. In-file metadata. Brief presentation because much/most of what we have considered for in-file metadata has already been discussed on Monday

105 views • 3 slides

Results

Results. Abstract. Methodology. References. Physiological arousal in response to emotional language depends on processing depth Rebecca Hartley, Kyle Dunn, & Lawrence J. Taylor Northumbria University.

114 views • 1 slides