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» Unsupervised Natural Language Processing Using Graph Models
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DAGM
2011
Springer
14 years 2 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
CICLING
2003
Springer
15 years 7 months ago
A Maximum Entropy Approach for Spoken Chinese Understanding
: In this paper, we present a spoken language understanding method based on the maximum entropy model. We first extract certain features from the corpus, and then train the maximum...
Guodong Xie, Chengqing Zong, Bo Xu
BPM
2006
Springer
164views Business» more  BPM 2006»
15 years 6 months ago
A Declarative Approach for Flexible Business Processes Management
Management of dynamic processes in an important issue in rapidly changing organizations. Workflow management systems are systems that use detailed process models to drive the busin...
Maja Pesic, Wil M. P. van der Aalst
NAACL
2007
15 years 3 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
TCS
2002
15 years 1 months ago
A unified language processing methodology
This paper discusses a mathematical concept of language that models both artificial and natural languages and thus provides a framework for a unified language processing methodolo...
Teodor Rus