Ontologies are often viewed as the answer to the need for interoperable semantics in
modern information systems. The explosion of textual information on the Read/Write Web …

In this paper, we describe the Machine Learning system, asium 1, which learns
Subcaterorization Frames of verbs and ontologies from the syntactic parsing of technical …

Abstract Text Categorization (TC) and Information Extraction (IE) are two important goals of
Natural Language Processing. While handcrafting rules for both tasks has a long tradition …

The ability to provide abstractions of documents in the form of important concepts and their
relations is a key asset, not only for bootstrapping the Semantic Web, but also for relieving …

This chapter presents the ILP method, Asium, that learns ontologies and verb
subcategorization frames from parsed corpora in specific domains. The ontology is learned …

The main goal of this paper is to extract the semantic relations underpinning the concepts of
English prepositional of-constructions derived from poetic and non-poetic datasets, using …

Use of virtual buildings is a good way to get a concrete idea about future projects. It may
allow avoiding errors discovered after the construction start and thus expensive to correct. In …

Proceedings of the Workshop on Constraints and Language Processing Page 1
Proceedings of the 3rd Workshop on Constraints and Language Processing (CSLP-06) …

В настоящей статье рассматривается задача извлечения информации из текстов без
использования лингвистических ресурсов таких, как размеченные корпуса, словари …

L'explosion du nombre de documents disponibles sur Internet rend nécessaire le
développement d'outils de recherche d'information de plus en plus performants. Si en 1993 …