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» The Catchment Feature Model for Multimodal Language Analysis
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ICMI
2010
Springer
217views Biometrics» more  ICMI 2010»
13 years 5 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»
14 years 1 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
12 years 7 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
13 years 5 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
13 years 2 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