Abstract
This chapter presents a symbolic machine learning method that automatically infers, from descriptions of noun-verb pairs found in a corpus in which the verb plays (or not) one of the qualia roles of the noun, corpus-specific morpho-syntactic and semantic patterns that convey qualia relations. The patterns are explanatory and linguistically motivated, and can be applied to a corpus to efficiently extract GL resources and populate Generative Lexicons. The linguistic relevance of these patterns is examined, and the N-V qualia pairs that they can detect or not is discussed. Comparisons to other methods for corpus-based qualia couple extraction are also presented.
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Claveau, V., Sébillot, P. (2013). Automatic Acquisition of GL Resources, Using an Explanatory, Symbolic Technique. In: Pustejovsky, J., Bouillon, P., Isahara, H., Kanzaki, K., Lee, C. (eds) Advances in Generative Lexicon Theory. Text, Speech and Language Technology, vol 46. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5189-7_19
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