An Argument-based Decision Support System for Assessing Natural Language Usage on the Basis of the Web Corpus

CARLOS IVÁN CHESÑEVAR; MARIONA SABATÉ,; GABRIELA MAGUITMAN, ANA

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Wiley

Lugar: N.York; Año: 2006 p. 1151 - 1180

0884-8173

The last decade bears witness to an exponential growth in the use of the World Wide Web. As a result, a huge number of documents are accessible online through search engines, whose patternmatching capabilities have turned out to be useful for mining theWeb space as a particular kind of linguistic corpus, commonly known as the Web Corpus. This article presents a novel, argumentative approach to providing proactive assistance for language usage assessment on the basis of usage indices, which are good indicators of the suitability of an expression on the basis of the Web Corpus. The user preferences consist of a number of possibly defeasible rules and facts that encode different aspects of adequate language usage, defining the acceptability of different terms on the basis of the computed usage indices. A defeasible argumentation system determines if a given expression is ultimately acceptable by analyzing a defeasible logic program that encodes the user’s preferences.possibly defeasible rules and facts that encode different aspects of adequate language usage, defining the acceptability of different terms on the basis of the computed usage indices. A defeasible argumentation system determines if a given expression is ultimately acceptable by analyzing a defeasible logic program that encodes the user’s preferences.