We propose a method of extracting explanatory text of images from HTML files based both on retrieval of similar images and expansion of keywords using co-occurrence. Images in web pages often have their explanatory text in the same pages. Such explanatory text includes important keywords that explain the corresponding image. It is therefore reasonable to put these keywords to the image for fulf...

This paper discusses aspects of the planning of explanatory texts for logic based systems. It presents a method for deriving Natural Language text plans from Natural Deduction-based structures. This approach allows for the planning of explanatory texts in a general-purpose logic based system framework, ensuring a greater degree of portability across domains.

We present a domain-independent method for generation of natural language explanations of rules in expert systems. The method is based on explanatory rules written in a procedural formal language, which build the explanation from predefined natural language texts fragments. For better style, a specific text fragment is randomly selected from a group of synonymous expressions. We have implemente...

Résumé. La recherche de règles d’association est une question centrale en Extraction de Connaissances dans les Données (ECD). Dans cet article, nous nous intéressons plus particulièrement à la restitution visuelle de règles pertinentes dans un corpus très important. Nous proposons ainsi un prototype basé sur une approche de type "wrapper" par intégration des phases d’extraction et de visualisat...

We present a novel evolutionary model for knowledge discovery from texts (KDTs), which deals with issues concerning shallow text representation and processing for mining purposes in an integrated way. Its aims is to look for novel and interesting explanatory knowledge across text documents. The approach uses natural language technology and genetic algorithms to produce explanatory novel hypothe...