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COLING
1990

Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries

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Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of these networks for word sense disambiguation. Our method brings together two earlier, independent approaches to word sense disambiguation: the use of machine-readable dictionaries and connectionnist models. The automatic construction of VLNNs enables real-size experiments with neural networks for natural language processing, which in turn provides insight into their behavior and design and can lead to possible improvements.
Jean Véronis, Nancy Ide
Added 07 Nov 2010
Updated 07 Nov 2010
Type Conference
Year 1990
Where COLING
Authors Jean Véronis, Nancy Ide
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