This paper deals with the problem of recognizing and extracting acronymdefinition pairs in Swedish medical texts. This project applies a rule-based method to solve the acronym rec...
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ā...
We propose an algorithm for extracting ļ¬elds from HTML search results. The output of the algorithm is a database tableā a data structure that better lends itself to high-level...
Ordering information is a diļ¬cult but a important task for natural language generation applications. A wrong order of information not only makes it diļ¬cult to understand, but a...
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...