Acquisition of Qualia Elements from Corpora - Evaluation of a Symbolic Learning Method
Pierrette Bouillon (TIM/ISSCO - ETI, University of Geneva, 40 Bvd du Pont-d'Arve,
CH-1205 Geneva, Switzerland)
Pascale Sébillot (IRISA, Campus de Beaulieu, 35000 Rennes, France)
WO3: Acquisition Of Lexical Information
This paper presents and evaluates a system extracting from a corpus noun-verb pairs hose components are related by a special kind of link: the qualia roles as defined in the Generative Lexicon. This system is based on a symbolic learning method that automatically learns, from noun-verb pairs that are or are not related by a qualia link, rules characterizing positive examples from negative ones in terms of their surrounding part-of-speech or semantic contexts. The qualia noun-verb pair extraction is thus performed by applying the learnt rules on a part-of-speech or semantically tagged text. Stress is put on the quality of the learning when compared with traditional statistical or syntactical-based approaches. The linguistic relevance of the rules is also evaluated through a comparison with manually acquired qualia patterns.
Lexical semantic information extraction, Inductive logic programming, Evaluation