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ENTCS
2010
133views more  ENTCS 2010»
15 years 3 months ago
Towards Measurable Types for Dynamical Process Modeling Languages
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...
Eric Mjolsness
137
Voted
IJCNLP
2005
Springer
15 years 9 months ago
Mining Inter-Entity Semantic Relations Using Improved Transductive Learning
This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of tra...
Zhu Zhang
ICGI
1998
Springer
15 years 7 months ago
Meaning Helps Learning Syntax
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
Isabelle Tellier
WCRE
2003
IEEE
15 years 8 months ago
RegReg: a Lightweight Generator of Robust Parsers for Irregular Languages
In reverse engineering, parsing may be partially done to extract lightweight source models. Parsing code containing preprocessing directives, syntactical errors and embedded langu...
Mario Latendresse
120
Voted
GECCO
2003
Springer
100views Optimization» more  GECCO 2003»
15 years 8 months ago
Studying the Advantages of a Messy Evolutionary Algorithm for Natural Language Tagging
The process of labeling each word in a sentence with one of its lexical categories (noun, verb, etc) is called tagging and is a key step in parsing and many other language processi...
Lourdes Araujo