Result Details
Summary report for project Exploiting Language Information for Situational Awareness (ELISA) For year 2017
GLEMBEK, O. Summary report for project Exploiting Language Information for Situational Awareness (ELISA) For year 2017. Brno: University of Southern California, 2017. p. 1-2.
Type
summary research report
Language
English
Authors
Glembek Ondřej, Ing., Ph.D., DCGM (FIT)
Abstract
The report summarizes the results of project "Exploiting Language Information for Situational Awareness (ELISA)" performed for the University of Southern California in L.A. in 2016.
Keywords
automatic speech recognition, topic detection, incidents, situational awareness
Annotation
Cross lingual topic id in latent space: Initial experiments were conducted on a multi-lingual (EN, FR, DE, IT) corpus of political texts comprising of 7 topics and approximately 4400 samples per language. Classification using uncertainties in the learned representations: We proposed a model that learns the document / sentence embeddings along with the uncertainties.
Published
2017
Pages
1–2
Publisher
University of Southern California
Place
Brno
BibTeX
@misc{BUT146439,
author="Ondřej {Glembek}",
title="Summary report for project Exploiting Language Information for Situational Awareness (ELISA) For year 2017",
year="2017",
pages="1--2",
publisher="University of Southern California",
address="Brno",
url="https://www.fit.vut.cz/research/publication/11670/",
note="Summary research report"
}
Files
Projects
DARPA Low Resource Languages for Emergent Incidents (LORELEI) - Exploiting Language Information for Situational Awareness (ELISA), University of Southern California, start: 2015-09-01, end: 2020-03-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments