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» Fast, Greedy Model Minimization for Unsupervised Tagging
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COLING
2010
12 years 12 months ago
Fast, Greedy Model Minimization for Unsupervised Tagging
Model minimization has been shown to work well for the task of unsupervised part-of-speech tagging with a dictionary. In (Ravi and Knight, 2009), the authors invoke an integer pro...
Sujith Ravi, Ashish Vaswani, Kevin Knight, David C...
ACL
2009
13 years 2 months ago
Minimized Models for Unsupervised Part-of-Speech Tagging
We describe a novel method for the task of unsupervised POS tagging with a dictionary, one that uses integer programming to explicitly search for the smallest model that explains ...
Sujith Ravi, Kevin Knight
EMNLP
2009
13 years 2 months ago
A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...
Qiuye Zhao, Mitch Marcus
EMNLP
2010
13 years 2 months ago
An Efficient Algorithm for Unsupervised Word Segmentation with Branching Entropy and MDL
This paper proposes a fast and simple unsupervised word segmentation algorithm that utilizes the local predictability of adjacent character sequences, while searching for a leaste...
Valentin Zhikov, Hiroya Takamura, Manabu Okumura
ICPP
2008
IEEE
13 years 11 months ago
Fast Source Switching for Gossip-Based Peer-to-Peer Streaming
In this paper we consider gossip-based Peer-to-Peer streaming applications where multiple sources exist and they work serially. More specifically, we tackle the problem of fast s...
Zhenhua Li, Jiannong Cao, Guihai Chen, Yan Liu