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EMNLP
2011
12 years 7 months ago
Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
We present new training methods that aim to mitigate local optima and slow convergence in unsupervised training by using additional imperfect objectives. In its simplest form, lat...
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
EMNLP
2010
13 years 5 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
ACL
2004
13 years 8 months ago
Annealing Techniques For Unsupervised Statistical Language Learning
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
Noah A. Smith, Jason Eisner
EMNLP
2006
13 years 8 months ago
Two graph-based algorithms for state-of-the-art WSD
This paper explores the use of two graph algorithms for unsupervised induction and tagging of nominal word senses based on corpora. Our main contribution is the optimization of th...
Eneko Agirre, David Martínez, Oier Lopez de...
ACL
2010
13 years 5 months ago
Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing
We show how web mark-up can be used to improve unsupervised dependency parsing. Starting from raw bracketings of four common HTML tags (anchors, bold, italics and underlines), we ...
Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Als...