One of the central issues for information extraction is the cost of customization from one scenario to another. Research on the automated acquisition of patterns is important for portability and scalability. In this paper, we introduce Tree-Based Pattern representation where a pattern is denoted as a path in the dependency tree of a sentence. We outline the procedure to acquire Tree-Based Patte...

In this work, we extend the dependency pair approach for automated proofs of termination in order to automate the termination proofs of narrowing. Narrowing is a generalization of term rewriting that allows free variables in terms (as in logic programming) and replaces pattern matching by syntactic unification. Narrowing has a number of important applications including execution of functional–l...

In many areas of science, agent-based models have become increasingly important. These models are often sufficiently complex that deriving closed-form solutions for quantitative aspects of their macroscopic behaviour is often impractical if not impossible. Thus these models are often analysed using Monte-Carlo simulation. Object-oriented programming languages are naturally suited to implementin...

In many areas of science, agent-based models have become increasingly important. These models are often sufficiently complex that deriving closed-form solutions for quantitative aspects of their macroscopic behaviour is often impractical if not impossible, and hence they are often analysed using discrete-event simulation and Monte-Carlo methods. In this paper we give an overview of agent-based ...

the purpose of this research was to determine the efficacy of group schema therapy approach for b category personality disorders score adjustment in substance dependent individuals. the present study was performed on individuals under maintenance treatment with methadone in shiraz public centers. sample group included 30 persons who were under treatment. instruments used included: clinical inte...

Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do the POS tagging task along with dependency parsing in a pipeline mode. Unfortunately, in pipel...

background: the dependency ratio (dr) is defined as the ratio of the non-working population to the economically active population. dependency ratio is calculated by the sum of population under fifteen years and over 65 years divided by 15-64 year old population. the interpretation of dr variation gives us the impact of health care services and some reproductive interventions. this study analyze...