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NIPS
2001
15 years 8 months ago
Convolution Kernels for Natural Language
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
Michael Collins, Nigel Duffy
224
Voted
EACL
2009
ACL Anthology
15 years 5 months ago
Discovering Global Patterns in Linguistic Networks through Spectral Analysis: A Case Study of the Consonant Inventories
Recent research has shown that language and the socio-cognitive phenomena associated with it can be aptly modeled and visualized through networks of linguistic entities. However, ...
Animesh Mukherjee, Monojit Choudhury, Ravi Kannan
231
Voted
COMPLIFE
2006
Springer
15 years 11 months ago
Software Supported Modelling in Pharmacokinetics
A powerful new software concept to physiologically based pharmacokinetic (PBPK) modelling of drug disposition is presented. It links the inherent modular understanding in pharmacol...
Regina Telgmann, Max von Kleist, Wilhelm Huisinga
157
Voted
NAACL
2007
15 years 8 months ago
A Random Text Model for the Generation of Statistical Language Invariants
A novel random text generation model is introduced. Unlike in previous random text models, that mainly aim at producing a Zipfian distribution of word frequencies, our model also ...
Chris Biemann
ICASSP
2010
IEEE
15 years 7 months ago
Subspace Gaussian Mixture Models for speech recognition
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...