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LREC
2010
148views Education» more  LREC 2010»
15 years 1 months ago
POS Multi-tagging Based on Combined Models
In the POS tagging task, there are two kinds of statistical models: one is generative model, such as the HMM, the others are discriminative models, such as the Maximum Entropy Mod...
Yan Zhao, Gertjan van Noord
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 6 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
LFP
1992
140views more  LFP 1992»
15 years 28 days ago
Global Tagging Optimization by Type Inference
Tag handling accounts for a substantial amount of execution cost in latently typed languages such as Common LISP and Scheme, especially on architectures that provide no special ha...
Fritz Henglein
SIGIR
2003
ACM
15 years 5 months ago
Domain-independent text segmentation using anisotropic diffusion and dynamic programming
This paper presents a novel domain-independent text segmentation method, which identifies the boundaries of topic changes in long text documents and/or text streams. The method c...
Xiang Ji, Hongyuan Zha
COLING
1994
15 years 1 months ago
A Corpus-Based Learning Technique for Building A Self-Extensible Parser
IIuman intervention and/or training corpora tagged with various kinds of information were often assumed in many natural language acquisition models. This assumption is a major sou...
Rey-Long Liu, Von-Wun Soo