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» Decomposable Modeling in Natural Language Processing
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EMNLP
2009
14 years 7 months ago
Stream-based Randomised Language Models for SMT
Randomised techniques allow very big language models to be represented succinctly. However, being batch-based they are unsuitable for modelling an unbounded stream of language whi...
Abby Levenberg, Miles Osborne
EMNLP
2009
14 years 7 months ago
Language Models Based on Semantic Composition
In this paper we propose a novel statistical language model to capture long-range semantic dependencies. Specifically, we apply the concept of semantic composition to the problem ...
Jeff Mitchell, Mirella Lapata
EMNLP
2009
14 years 7 months ago
Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
Robert C. Moore, Chris Quirk
UML
2005
Springer
15 years 3 months ago
An Ontology-Based Approach for Evaluating the Domain Appropriateness and Comprehensibility Appropriateness of Modeling Languages
In this paper we present a framework for the evaluation and (re)design of modeling languages. We focus here on the evaluation of the suitability of a language to model a set or rea...
Giancarlo Guizzardi, Luís Ferreira Pires, M...
COOPIS
2002
IEEE
15 years 2 months ago
Formal Ontology Engineering in the DOGMA Approach
This paper presents a specifically database-inspired approach (called DOGMA) for engineering formal ontologies, implemented as shared resources used to express agreed formal semant...
Mustafa Jarrar, Robert Meersman