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» Unsupervised Natural Language Processing Using Graph Models
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EMNLP
2010
13 years 5 months ago
Simple Type-Level Unsupervised POS Tagging
Part-of-speech (POS) tag distributions are known to exhibit sparsity -- a word is likely to take a single predominant tag in a corpus. Recent research has demonstrated that incorp...
Yoong Keok Lee, Aria Haghighi, Regina Barzilay
EMNLP
2009
13 years 5 months ago
Unsupervised Semantic Parsing
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, r...
Hoifung Poon, Pedro Domingos
EMNLP
2010
13 years 5 months ago
Unsupervised Discovery of Negative Categories in Lexicon Bootstrapping
Multi-category bootstrapping algorithms were developed to reduce semantic drift. By extracting multiple semantic lexicons simultaneously, a category's search space may be res...
Tara McIntosh
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
LREC
2010
199views Education» more  LREC 2010»
13 years 9 months ago
A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia
Determining semantic relatedness between words or concepts is a fundamental process to many Natural Language Processing applications. Approaches for this task typically make use o...
Ziqi Zhang, Anna Lisa Gentile, Lei Xia, José...