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» Method Chunks for Interoperability
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ACL
2001
13 years 9 months ago
Text Chunking using Regularized Winnow
Many machine learning methods have recently been applied to natural language processing tasks. Among them, the Winnow algorithm has been argued to be particularly suitable for NLP...
Tong Zhang, Fred Damerau, David Johnson
CICLING
2010
Springer
13 years 11 months ago
ETL Ensembles for Chunking, NER and SRL
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Cícero Nogueira dos Santos, Ruy Luiz Milidi...
FSMNLP
2005
Springer
14 years 1 months ago
Algorithms for Minimum Risk Chunking
Abstract. Stochastic finite automata are useful for identifying substrings (chunks) within larger units of text. Relevant applications include tokenization, base-NP chunking, name...
Martin Jansche
NLPRS
2001
Springer
14 years 3 days ago
An Empirical Study of Feature Set Selection for Text Chunking
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
Young-Sook Hwang, Yong-Jae Kwak, Hoo-Jung Chung, S...
CC
2003
Springer
14 years 27 days ago
Improving Data Locality by Chunking
Cache memories were invented to decouple fast processors from slow memories. However, this decoupling is only partial, and many researchers have attempted to improve cache use by p...
Cédric Bastoul, Paul Feautrier