Sciweavers

4 search results - page 1 / 1
» Latent-Descriptor Clustering for Unsupervised POS Induction
Sort
View
EMNLP
2010
13 years 2 months ago
Latent-Descriptor Clustering for Unsupervised POS Induction
We present a novel approach to distributionalonly, fully unsupervised, POS tagging, based on an adaptation of the EM algorithm for the estimation of a Gaussian mixture. In this ap...
Michael Lamar, Yariv Maron, Elie Bienenstock
LREC
2008
102views Education» more  LREC 2008»
13 years 6 months ago
Unsupervised Parts-of-Speech Induction for Bengali
We present a study of the word interaction networks of Bengali in the framework of complex networks. The topological properties of these networks reveal interesting insights into ...
Joy Deep Nath, Monojit Choudhury, Animesh Mukherje...
ACL
2010
13 years 2 months ago
Improved Unsupervised POS Induction through Prototype Discovery
We present a novel fully unsupervised algorithm for POS induction from plain text, motivated by the cognitive notion of prototypes. The algorithm first identifies landmark cluster...
Omri Abend, Roi Reichart, Ari Rappoport
EMNLP
2010
13 years 2 months ago
Two Decades of Unsupervised POS Induction: How Far Have We Come?
Part-of-speech (POS) induction is one of the most popular tasks in research on unsupervised NLP. Many different methods have been proposed, yet comparisons are difficult to make s...
Christos Christodoulopoulos, Sharon Goldwater, Mar...