This paper presents a corpus-based method for extracting semantic relations between
words. The method is based on two sequential procedures. First, it automatically classifies …

This article describes an unsupervised strategy to acquire syntactico-semantic requirements
of nouns, verbs, and adjectives from partially parsed text corpora. The linguistic notion of …

We describe DyALog, an environment aimed to compile and run tabular-based parsers for
various unification-based formalisms used for Natural Language Processing. Besides …

This paper explores different strategies for extracting similarity relations between words from
partially parsed text corpora. The strategies we have analysed do not require supervised …

The growing trend towards corpus-based linguistics has led researchers to manually
annotate large quantities of text. The human effort involved in this task is often enormous …

Natural language parsing requires extensive lexicons containing subcategorisation
information for specific sublanguages. This paper describes an unsupervised method for …

This paper describes an automatic clustering strategy for acquiring selection restrictions. We
use a knowledge-poor method merely based on word cooccurrence within basic syntactic …

Cet article survole les fonctionnalités offertes par le système DyALog pour construire des
analyseurs syntaxiques tabulaires. Offrant la richesse d'un environnement de …

Partially parsed corpora is used for automatically extracting semantic and syntactic
subcategorization information for words, helping to cluster them according to their sense …

Evolutionary Computation (EC) introduces a new paradigm for solving problems in Artificial
Intelligence, representing solution candidates as individuals and evolving them based on …