'Emantic' presentation slideshows

Learning for Semantic Parsing of Natural Language

818 views • 81 slides

Learning for Semantic Parsing of Natural Language

814 views • 81 slides

Using String-Kernels for Learning Semantic Parsers

Using String-Kernels for Learning Semantic Parsers. Rohit J. Kate Raymond J. Mooney. Semantic Parsing. Semantic Parsing : Transforming natural language (NL) sentences into computer executable complete meaning representations (MRs) for some application Example application domains

959 views • 80 slides

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???? ??. ???? ??. ???? ??. ? 10 ? ?? ?? ??. ? ?. Introduction Syntax-Directed Translation Code Generation U-Code Translator. Introduction. Formal Specification lexical structure : regular expression syntactic structure : context-free grammar

1.23k views • 69 slides

Learning Semantic Parsers Using Statistical Syntactic Parsing Techniques

Learning Semantic Parsers Using Statistical Syntactic Parsing Techniques. Ruifang Ge Supervisor Professor: Raymond J. Mooney. February 8, 2006. Semantic Parsing.

729 views • 60 slides

A Statistical Semantic Parser that Integrates Syntax and Semantics

A Statistical Semantic Parser that Integrates Syntax and Semantics. Ruifang Ge and Raymond J. Mooney. June 29, 2005. [ giver John] gave [ entity given to Mary] [ thing given a pen]. Motivation.

513 views • 40 slides

Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis

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Overview

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u se of UDDI to publish data of s emantic w eb

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429 views • 27 slides

What is Sirma?

Ontotext in FP6: DIP, SUPER and INFRAWEBS Zlatina Marinova 1st SEE-INNOVATION KNOW-HOW TRANSFER EVENT Dec 15, 2006; Skopje. What is Sirma?. Established in 1992 as a Bulgarian-Canadian AI Lab. Currently it is a group of diverse software businesses :

388 views • 25 slides

ASKNet: Automated Semantic Knowledge Network

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CCSW : The C ompetence C enter S emantic W eb

CCSW : The C ompetence C enter S emantic W eb. Harold Boley, DFKI GmbH Presentation in Course „Rule Markup Languages“ Univ. Kaiserslautern, April 26th, 2002. General Overview.

303 views • 18 slides

A udio I nformation R etrieval using S emantic S imilarity

Q uery B y E xample. S emantic S olution. Query-by-example is a method for retrieving content from databases: given an example, return similar content. For sound effects audio, the retrieved results could have: similar sound : Query by Acoustic Example (QBAE) or

98 views • 1 slides