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» Kernel methods for learning languages
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EMNLP
2011
12 years 8 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen
CLEF
2006
Springer
14 years 23 days ago
Experimenting a "General Purpose" Textual Entailment Learner in AVE
In this paper we present the use of a "general purpose" textual entaiment recognizer in the Answer Validation Exercise (AVE) task. Our system has been developed to learn...
Fabio Massimo Zanzotto, Alessandro Moschitti
CORR
2007
Springer
141views Education» more  CORR 2007»
13 years 9 months ago
Bootstrapping Deep Lexical Resources: Resources for Courses
We propose a range of deep lexical acquisition methods which make use of morphological, syntactic and ontological language resources to model word similarity and bootstrap from a ...
Timothy Baldwin
PLDI
2003
ACM
14 years 2 months ago
Region-based hierarchical operation partitioning for multicluster processors
Clustered architectures are a solution to the bottleneck of centralized register files in superscalar and VLIW processors. The main challenge associated with clustered architectu...
Michael L. Chu, Kevin Fan, Scott A. Mahlke
CICLING
2009
Springer
14 years 9 months ago
Semantic Clustering for a Functional Text Classification Task
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
Thomas Lippincott, Rebecca J. Passonneau