Using High-Quality Resources in NLP: The Valency Dictionary of English as a Resource for Left-Associative Grammars

In Natural Language Processing (NLP), the quality of a system depends to a great extent on the quality of the linguistic resources it uses. Due to the unpredictable character of valency properties, a reliable source for information about valency is important for syntactic and semantic analysis. With this in mind, we discuss how the Valency Dictionary of English in machine-readable form can be used as a resource for NLP. We will show that the valency data can be integrated into a Left-Associative Grammar and thus can be used for accurately parsing natural language with a rule-based approach.

• Type: Conference
• Year: 2010
• Where: LREC
• Authors: Thomas Proisl, Besim Kabashi
• Keywords: Education, LREC 2010, Natural Language, Natural Language Processing, Valency Properties