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» The Catchment Feature Model for Multimodal Language Analysis
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ICMI
2010
Springer
217views Biometrics» more  ICMI 2010»
14 years 9 months ago
Focusing computational visual attention in multi-modal human-robot interaction
Identifying verbally and non-verbally referred-to objects is an important aspect of human-robot interaction. Most importantly, it is essential to achieve a joint focus of attentio...
Boris Schauerte, Gernot A. Fink
ECBS
2006
IEEE
166views Hardware» more  ECBS 2006»
15 years 5 months ago
Model Transformations in the Model-Based Development of Real-time Systems
In this paper we argue for UML-based metamodeling and pattern-based graph transformation techniques in computer-based systems development through an illustrative example from the ...
Tivadar Szemethy, Gabor Karsai, Daniel Balasubrama...
EMNLP
2011
13 years 11 months ago
Universal Morphological Analysis using Structured Nearest Neighbor Prediction
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...
Young-Bum Kim, João Graça, Benjamin ...
EMNLP
2009
14 years 9 months ago
On the Role of Lexical Features in Sequence Labeling
We use the technique of SVM anchoring to demonstrate that lexical features extracted from a training corpus are not necessary to obtain state of the art results on tasks such as N...
Yoav Goldberg, Michael Elhadad
INTERSPEECH
2010
14 years 6 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen