Knowledge Acquisition in the System VIE-LANG
Proceedings of the Österreichische Artificial Intelligence
The syntax and semantics of user-defined modifiers in a transportable natural language processor
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
It would be much easier if WENT were GOED
EACL '89 Proceedings of the fourth conference on European chapter of the Association for Computational Linguistics
EBL: an approach to automatic lexical acquisition
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 4
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Creating a knowledge base has always been a bottleneck in the implementation of AI systems. This is also true for Natural Language Understanding (NLU) systems, particularly for data-driven ones. While a perfect system for automatic acquisition of all sorts of knowledge is still far from being realized, partial solutions are possible. This holds especially for lexical data. Nevertheless, the task is not trivial, in particular when dealing with languages rich in inflectional forms like German. Our system is to be used by persons with no specific linguistic knowledge, thus linguistic expertise has been put into the system to ascertain correct classification of words. Classification is done by means of a small rule based system with lexical knowledge and language-specific heuristics. The key idea is the identification of three sorts of knowledge which are processed distinctly and the optimal use of knowledge already contained in the existing lexicon.