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» Language Dynamics and Capitalization using Maximum Entropy
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ACL
2008
13 years 6 months ago
Language Dynamics and Capitalization using Maximum Entropy
This paper studies the impact of written language variations and the way it affects the capitalization task over time. A discriminative approach, based on maximum entropy models, ...
Fernando Batista, Nuno J. Mamede, Isabel Trancoso
CSL
2006
Springer
13 years 4 months ago
Adaptation of maximum entropy capitalizer: Little data can help a lot
A novel technique for maximum "a posteriori" (MAP) adaptation of maximum entropy (MaxEnt) and maximum entropy Markov models (MEMM) is presented. The technique is applied...
Ciprian Chelba, Alex Acero
CICLING
2003
Springer
13 years 10 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
ACL
2001
13 years 6 months ago
Improvement of a Whole Sentence Maximum Entropy Language Model Using Grammatical Features
In this paper, we propose adding long-term grammatical information in a Whole Sentence Maximun Entropy Language Model (WSME) in order to improve the performance of the model. The ...
Fredy A. Amaya, José-Miguel Benedí
ICML
2000
IEEE
14 years 5 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...