Search Results for 'Semantic-Data'

Semantic-Data published presentations and documents on DocSlides.

Semantic feature analysis in raster maps
Semantic feature analysis in raster maps
by tatiana-dople
Trevor Linton, University of Utah. Acknowledgemen...
Linguistic knowledge for Speech recognition
Linguistic knowledge for Speech recognition
by aaron
By : Ahmed Aly. 06/05/2013. Project description. ...
Service-Oriented Architectures
Service-Oriented Architectures
by ellena-manuel
for . Smart Manufacturing Project. Nenad Ivezic. ...
CL Research ACL 2014
CL Research ACL 2014
by conchita-marotz
1. Pattern Dictionary of English Prepositions. (P...
Semantic and syntactic
Semantic and syntactic
by calandra-battersby
patterning. Syntactic patterns. Antithesis. Listi...
Semantics:  Representations and Analyses
Semantics: Representations and Analyses
by tatiana-dople
Slides adapted from Julia Hirschberg, Dan Jurafsk...
Word sense disambiguation (1)
Word sense disambiguation (1)
by kittie-lecroy
Instructor: Paul Tarau, based on . Rada. . Mihal...
Semantic Object and Instance Segmentation
Semantic Object and Instance Segmentation
by calandra-battersby
Anurag Arnab. Collaborators: . sadeep. . Jayasum...
1 Language definition
1 Language definition
by mitsue-stanley
Syntax. : the structure of a program. Usually giv...
OpenCyc
OpenCyc
by karlyn-bohler
Multi-Contextual Knowledge Base . and . Inference...
Bob Coyne
Bob Coyne
by marina-yarberry
Columbia University. New York City. Email: . coyn...
Semantic
Semantic
by sherrill-nordquist
Drift . between. . the. Testaments. Using. . ...
Telegraphic speech: two- and three-word utterances
Telegraphic speech: two- and three-word utterances
by tatiana-dople
Children do not proceed as rapidly to two-word ut...
5.  Semantics
5. Semantics
by pamella-moone
 . Reference. Semantic. . units. Equivalence. ...
Transforming Arbitrary Tables into F-Logic Frames with TART
Transforming Arbitrary Tables into F-Logic Frames with TART
by cheryl-pisano
Aleksander. . Pivk. , . York . Sure, . Philipp ....
Semantics in
Semantics in
by aaron
Text-to-Scene Generation. 1. Bob Coyne (. coyne@c...
Emotional Annotation of Text
Emotional Annotation of Text
by olivia-moreira
David Gallagher. What is Emotional Annotation of ...
Integrating Ontology Debugging and Matching into the
Integrating Ontology Debugging and Matching into the
by aaron
eXtreme. Design Methodology. Zlatan . Dragisic. ...
POLYFUNCTIONALITY AND DISTRIBUTION OF REFLEXIVE VERBS IN LA
POLYFUNCTIONALITY AND DISTRIBUTION OF REFLEXIVE VERBS IN LA
by tatiana-dople
N. Andra . Kalnača. , Ilze . Lokmane. D. epartme...
Catching Up and Getting into Semantics
Catching Up and Getting into Semantics
by yoshiko-marsland
My office hours will be Wednesday 2-3 this week i...
A SCALABLE APPROACH TO VIDEO SUMMARIZATION AND ADAPTATION
A SCALABLE APPROACH TO VIDEO SUMMARIZATION AND ADAPTATION
by celsa-spraggs
Luis . Herranz. Arribas. Supervisor: Dr. José M...
The Use and Connotation of the
The Use and Connotation of the
by briana-ranney
N-word in Twain’s Novels and in Contemporary So...
Specify and Verify Your
Specify and Verify Your
by lois-ondreau
Language using K. Grigore . Rosu. University of I...
From Rewriting Logic,
From Rewriting Logic,
by cheryl-pisano
t. o Programming Language Semantics,. to Program ...
Lexical relations
Lexical relations
by alexa-scheidler
On. e. . par. t. . o. f. . kn. o. win. g. . t...
The Famine Project:
The Famine Project:
by karlyn-bohler
Structuring Text. Gary Stringer. Digital Manager,...
The (near-)synonyms
The (near-)synonyms
by jane-oiler
begin. and . start. : evidence from translation ...
Applying dependency parses and SRL:
Applying dependency parses and SRL:
by myesha-ticknor
. Subject and Generic . Attribute Discovery. Ste...
Grammars and Learning for Scene Classification: A Survey
Grammars and Learning for Scene Classification: A Survey
by danika-pritchard
Hemerson. . Pistori. , Andrew . Calway. and Pet...
Wordnet
Wordnet
by stefany-barnette
from A to Z . Cvetana Krstev. University of Belg...
Concept based Multi-Document Text Summarization
Concept based Multi-Document Text Summarization
by giovanna-bartolotta
By . : . asef. . poormasoomi. Supervisor. : Dr....
Ch.6 Retrieving Memories from Long-Term Storage
Ch.6 Retrieving Memories from Long-Term Storage
by luanne-stotts
Anna Fraser, Holly Lester & Marah Lind. What ...
A University Grammar of English
A University Grammar of English
by alida-meadow
Lecture No. . 5. Semantic Roles of . the Direct O...
Learning From Chris Dyer Group
Learning From Chris Dyer Group
by calandra-battersby
Chao Xing. CSLT Tsinghua. Why?. Chris Dyer. grou...
Unsupervised Clickstream Clustering for User Behavior Analy
Unsupervised Clickstream Clustering for User Behavior Analy
by ellena-manuel
Gang Wang. , Xinyi Zhang, . Shiliang. Tang,. Hai...
Understanding Language
Understanding Language
by calandra-battersby
So much of intelligence seems to revolve around l...
Copyright © 2012 Pearson Education. All rights reserved.
Copyright © 2012 Pearson Education. All rights reserved.
by phoebe-click
1-. 1. Concepts of Programming Languages. Lecture...
Text Processing Fundamentals
Text Processing Fundamentals
by natalia-silvester
Topics. Language Modelling. Corpus quality. Parts...
BAA - Big Mechanism
BAA - Big Mechanism
by alexa-scheidler
using SIRA Technology. Chuck . Rehberg. CTO . at ...
Compiler principles
Compiler principles
by kittie-lecroy
Semantic analysis. Jakub Yaghob. Syntax-directed ...