In this paper we describe a new language for statistical data modelling, which offers a general framework for the representation of elementary and summarydata.Thereare threemain c...
Pearl's probabilistic causal model has been used in many domains to reason about causality. Pearl's treatment of actions is very different from the way actions are repre...
In order to extract catchwords, new words and other kinds of words for language monitoring, this paper propose the temporal-spatial modeling, which seemed the sort of words as the...
This paper presents a methodology to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP). Use-case language schem...
Spoken document retrieval (SDR) has been extensively studied in recent years because of its potential use in navigating large multimedia collections in the near future. This paper...