'Semantic space' presentation slideshows

Project Overview

1.03k views • 88 slides

TEXT CLASSIFICATION

TEXT CLASSIFICATION. Jianping Fan Dept of Computer Science UNC-Charlotte. Text CATEGORIZATION / CLASSIFICATION. Given: A description of an instance, x ? X , where X is the instance language or instance space . E.g : how to represent text documents .

3.62k views • 74 slides

795 views • 69 slides

Accounting for the relative importance of objects in image retrieval

479 views • 38 slides

Query by Semantic Example

Query by Semantic Example. Nikhil Rasiwasia Statistical Visual Computing Laboratory University of California, San Diego. Image retrieval. Metadata based retrieval systems. Metadata based retrieval systems text, click-rates, etc. Google Images Clearly not sufficient

514 views • 35 slides

The Service Layer John Domingue , The Open University SOA4All

The Service Layer John Domingue , The Open University SOA4All. 32 patterns have been developed 13 patterns -> in-elaboration 10 (+9) patterns -> formally consistent ( ) 9 patterns -> proven by the POC 12 patterns are from external contributions (IT,NSP).

398 views • 32 slides

APPENDIX 1

APPENDIX 1. If we have questions about. Semantic code Factor analysis and More generally about multivariate statistics Using Methods of Nonlinear Dynamic System Theory And time to answer its. Semantic Code. Low integrative model

315 views • 31 slides

* Shiori Sasaki , ** Yasushi Kiyoki , *** Taizo Yakushiji

419 views • 29 slides

Semantic Memory Architecture for Knowledge Acquisition and Management

Semantic Memory Architecture for Knowledge Acquisition and Management. Julian Szyma?ski & W?odzis?aw Duc h Department of Electronic, Telecommunication and Informatics , Gda?sk University of Technology ; D epartment of Informatics, Nicolaus Copernicus University, Toru ?, Poland Google: Duch.

428 views • 29 slides

Semantic Memory Architecture for Knowledge Acquisition and Management

Semantic Memory Architecture for Knowledge Acquisition and Management. Julian Szyma?ski & W?odzis?aw Duc h Department of Electronic, Telecommunication and Informatics , Gda?sk University of Technology ; D epartment of Informatics, Nicolaus Copernicus University, Toru ?, Poland Google: Duch.

293 views • 29 slides

Reading & Speech Perception

Reading & Speech Perception. Connectionist Approach. E.g., Seidenberg and McClelland (1989) and Plaut (1996). Central to these models is the absence of any lexicon . Instead, rely on distributed representations

565 views • 28 slides

On Scaling Latent Semantic Indexing for Large Peer-to-Peer Systems

On Scaling Latent Semantic Indexing for Large Peer-to-Peer Systems. Chunqiang Tang, Sandhya Dwarkadas, Zhichen Xu University of Rochester; Yahoo! Inc. ACM SIGIR2004 Session: Dimensionality reduction. Abstract (1/2). Promising direction

278 views • 19 slides

Computer assisted assessment of essays

Computer assisted assessment of essays. Advantages Reduces costs of assessment Less staff is needed for assessment tasks Increases objectivity More than one assessor can be used without doubling the costs Automated marking is not prone to human error Instant feedback Helps students

392 views • 17 slides

Semantic Memory Architecture for Knowledge Acquisition and Management

343 views • 15 slides

Concept Description Vectors and the 20 Question s Game

Concept Description Vectors and the 20 Question s Game. W?odzis?aw Duch Tomasz Sarnatowicz Julian Szyma?ski. Semantic Memory. P ermanent container for general knowledge. Hierarchical Model Collins & Quillian, 1969. Semantic network Collins & Loftus, 1975. Semantic Memory.

233 views • 12 slides

Computer-assisted essay assessment

Computer-assisted essay assessment. Similarity scores by Latent Semantic Analysis Comparison material based on relevant passages from textbook Defining threshold values for grade categories Grading the essays. Results. Latent Semantic Analysis (LSA) aka Latent Semantic Indexing (LSI).

243 views • 11 slides

Computer-assisted essay assessment

Computer-assisted essay assessment. Similarity scores by Latent Semantic Analysis Comparison material based on relevant passages from textbook Defining threshold values for grade categories Grading the essays. Results. Latent Semantic Analysis (LSA) aka Latent Semantic Indexing (LSI).

133 views • 11 slides

Semantic Memory Knowledge Acquisition Through Active Dialogues

Semantic Memory Knowledge Acquisition Through Active Dialogues. The knowledge representation using relations between concepts and keywords is relatively simple model for modeling language. However it gives the possibilities for

86 views • 8 slides