The Decision Tree Learning Algorithms (DTLAs) are getting keen attention from the natural language processing research comlnunity, and there have been a series of attempts to appl...
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
(LP)2 is a covering algorithm for adaptive Information Extraction from text (IE). It induces symbolic rules that insert SGML tags into texts by learning from examples found in a u...
We built a system for the automatic creation of a textbased topic hierarchy, meant to be used in a geographically defined community. This poses two main problems. First, the appea...
We empirically show that there are significant differences between the discourse structure of Japanese texts and the discourse structure of their corresponding English translation...