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106
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ESANN
2008
15 years 2 months ago
Word recognition and incremental learning based on neural associative memories and hidden Markov models
Abstract. An architecture for achieving word recognition and incremental learning of new words in a language processing system is presented. The architecture is based on neural ass...
Zöhre Kara Kayikci, Günther Palm
ACL
1997
15 years 2 months ago
Learning Parse and Translation Decisions from Examples with Rich Context
We present a knowledge and context-based system for parsing and translating natural language and evaluate it on sentences from the Wall Street Journal. Applying machine learning t...
Ulf Hermjakob, Raymond J. Mooney
93
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CORR
2007
Springer
88views Education» more  CORR 2007»
15 years 23 days ago
A software for learning Information Theory basics with emphasis on Entropy of Spanish
In this paper, an educational software aimed to help learning Information Theory basics in a practical way is reported. The software, called IT-tutor-UV, can produce entropy analy...
Fabio G. Guerrero, Lucio A. Perez
171
Voted
SIGMOD
2008
ACM
150views Database» more  SIGMOD 2008»
16 years 28 days ago
LearnPADS: automatic tool generation from ad hoc data
In this demonstration, we will present LEARNPADS, a fully automatic system for generating ad hoc data processing tools. When presented with a collection of ad hoc data, the system...
Kathleen Fisher, David Walker, Kenny Qili Zhu
ICTAI
2007
IEEE
15 years 7 months ago
Dragon Toolkit: Incorporating Auto-Learned Semantic Knowledge into Large-Scale Text Retrieval and Mining
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu