'Baseline system' presentation slideshows

Systems & Applications: Introduction

Systems & Applications: Introduction. Ling 573 NLP Systems and Applications April 1, 2013. Roadmap. Motivation 573 Structure Question-Answering Shared Tasks. Motivation. Information retrieval is very powerful Search engines index and search enormous doc sets

1.13k views • 98 slides

International Standards for Image/Video Coding

International Standards for Image/Video Coding. Multimedia Everywhere. Towards Multimedia :. Consumer. Computer. Electronics. Multimedia. Tele- Communication. Broadcasting. Still Picture Compression Standards.

559 views • 45 slides

Automatically Generating Government Linked Data from Tables

Automatically Generating Government Linked Data from Tables. Varish Mulwad ( @ varish ) University of Maryland, Baltimore County November 5, 2011. Dr. Tim Finin. Dr. Anupam Joshi. What ?. dbpedia-owl:state. http:// dbpedia.org/class/AdministrativeRegion.

437 views • 35 slides

Automatically Generating Linked Data from Tables

Automatically Generating Linked Data from Tables. Varish Mulwad ( @ varish ) University of Maryland, Baltimore County November 15, 2011. What ?. dbpedia-owl:state. http:// dbpedia.org/class/AdministrativeRegion. http://dbpedia.org/resource/Arizona. Map literals as values of properties.

449 views • 34 slides

Generating Linked Data by inferring the semantics of tables

Generating Linked Data by inferring the semantics of tables. Varish Mulwad ( @ varish ) University of Maryland, Baltimore County September 2, 2011. Dr. Tim Finin. Dr. Anupam Joshi. Goal.

473 views • 33 slides

Frederico Rodrigues and Isabel Trancoso

Robust Recognition of Digits and Natural Numbers. Frederico Rodrigues and Isabel Trancoso. INESC/IST, 2000. Summary. Problem overview Baseline system Extensions to the baseline system Conclusions and future work. Microphone. Microphone. Position. Channel. Distortion. Distortion.

353 views • 25 slides

Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text

Extracting Opinions, Opinion Holders, and Topics Expressed in Online News Media Text. Soo-Min Kim and Eduard Hovy USC Information Sciences Institute 4676 Admiralty Way Marina del Rey, CA 90292-6695 {skim, hovy}@ISI.EDU. Abstract.

344 views • 24 slides

SWSI Bulk Scheduling Enhancement (BSE) Release 04.2 Transition Readiness Review

375 views • 19 slides

West Virginia Smart Grid Implementation Plan Preliminary Results

West Virginia Smart Grid Implementation Plan Preliminary Results. Steve Bossart Director, Integrated Electric Power Systems Office of Systems Analysis and Planning. The West Virginia Smart Grid Implementation Plan is the first state-wide Smart Grid strategy in the nation!

299 views • 19 slides

Phonetic features in ASR

366 views • 18 slides

Improving Subcategorization Acquisition using Word Sense Disambiguation

Improving Subcategorization Acquisition using Word Sense Disambiguation. Anna Korhonen and Judith Preiss University of Cambridge, Computer Laboratory 15 JJ Thomas Avenue, Cambridge CB3 0FD, UK Anna.Korhonen@cl.cam.ac.uk , Judita.Preiss@cl.cam.ac.uk. Outline.

330 views • 18 slides

Phonetic features in ASR

283 views • 18 slides

Spoken Language Identification Using the Speechdat-M Corpus

Spoken Language Identification Using the Speechdat-M Corpus. Diamantino Caseiro - Isabel Trancoso INESC/IST. Language Identification. Best systems use multiple large vocabulary continuous speech recognisers.

407 views • 13 slides

Speaker Recognition Experiment

Speaker Recognition Experiment. Seungchan Lee Intelligent Electronic Systems Human and Systems Engineering Department of Electrical and Computer Engineering. Overview. Software Release lm_tester, network_builder Debugging utility : Purify HierarchicalSearch Class

239 views • 10 slides

Experiments on different feature sets; comparison with DC baseline system

Experiments on AURORA 2000 database :. RESPITE workshop Jan.25-27 2001 Martigny. Features of DC baseline system : training on N1 ... N4 sets (multi-condition training) NSPS (nonlinear spectral subtraction) VTN (vocaltract length normalization) MFCC features with cepstral mean normalization

171 views • 8 slides