1 The Problem For most natural language analysis systems, one of the major hurdles in porting the system to a new domain is the development of an appropriate set of semantic patterns. Such patterns are typically needed to guide syntactic analysis (as selectional constraints) and to control the translation into a predicate-argument representation. As systems are ported to more complex domains, t...

A computational model of the construction of word meaning through exposure to texts is built in order to simulate the effects of co-occurrence values on word semantic similarities, paragraph by paragraph. Semantic similarity is here viewed as association. It turns out that the similarity between two words W1 and W2 strongly increases with a co-occurrence, decreases with the occurrence of W1 wit...

Since its inception in 1985, the Australasian Journal of Educational Technology (AJET) has been dedicated to diffusion studies on integration technology higher education. Its track record this field placed it first quartile Scimago & Country Rank. The objective study was reveal scientific community journey and evolution that journal had throughout existence Web Science. A bibliometric metho...

A computational model of the construction of word meaning through exposure to texts is built in order to simulate the effects of co-occurrence values on word semantic similarities, paragraph by paragraph. Semantic similarity is here viewed as association. It turns out that the similarity between two words W1 and W2 strongly increases with a co-occurrence, decreases with the occurrence of W1 wit...

In this paper, we propose a compression based multi-document summarization technique by incorporating word bigram probability and word co-occurrence measure. First we implemented a graph based technique to achieve sentence compression and information fusion. In the second step, we use hand-crafted rule based syntactic constraint to prune our compressed sentences. Finally we use probabilistic me...