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» Unsupervised Natural Language Processing Using Graph Models
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NLDB
2005
Springer
14 years 2 months ago
Named Entity Recognition for Web Content Filtering
Effective Web content filtering is a necessity in educational and workplace environments, but current approaches are far from perfect. We discuss a model for text-based intellige...
José María Gómez Hidalgo, Fra...
ICEBE
2007
IEEE
174views Business» more  ICEBE 2007»
14 years 3 months ago
Worksheet-Driven UMM Modeling of B2B Services
In the development process of a B2B system it is crucial that the business experts are able to express and evaluate agreements and commitments between the partners and that the so...
Christian Huemer, Marco Zapletal, Philipp Liegl, R...
ICASSP
2010
IEEE
13 years 9 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
CVPR
2000
IEEE
14 years 11 months ago
Fixed Topology Skeletons
In this paper, we present a novel approach to robust skeleton extraction. We use undirected graphs to model connectivity of the skeleton points. The graph topology remains unchang...
Polina Golland, W. Eric L. Grimson
CHI
2009
ACM
14 years 9 months ago
A biologically inspired approach to learning multimodal commands and feedback for human-robot interaction
In this paper we describe a method to enable a robot to learn how a user gives commands and feedback to it by speech, prosody and touch. We propose a biologically inspired approac...
Anja Austermann, Seiji Yamada