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COLING
1996
13 years 10 months ago
Computational Complexity of Probabilistic Disambiguation by means of Tree-Grammars
This paper studies the computational complexity of disambiguation under probabilistic tree-grammars as in (Bod, 1992; Schabes and Waters, 1993). It presents a proof that the follo...
Khalil Sima'an
CISIS
2007
IEEE
13 years 9 months ago
Gridifying IBM's Generic Log Adapter to Speed-Up the Processing of Log Data
Problem determination in today's computing environments consumes between 30 and 70% of an organization’s IT resources and represents from one third to one half of their tot...
Claudi Paniagua, Fatos Xhafa, Thanasis Daradoumis
WACV
2005
IEEE
14 years 2 months ago
Ensemble Methods in the Clustering of String Patterns
We address the problem of clustering of contour images from hardware tools based on string descriptions, in a comparative study of cluster combination techniques. Several clusteri...
André Lourenço, Ana L. N. Fred
NAACL
2003
13 years 10 months ago
Supervised and unsupervised PCFG adaptation to novel domains
This paper investigates adapting a lexicalized probabilistic context-free grammar (PCFG) to a novel domain, using maximum a posteriori (MAP) estimation. The MAP framework is gener...
Brian Roark, Michiel Bacchiani
NIPS
2001
13 years 10 months ago
Natural Language Grammar Induction Using a Constituent-Context Model
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
Dan Klein, Christopher D. Manning