Automatic acquisition of semantic relationships from morphological relatedness

Authors:
Delphine Bernhard
Affiliations:
TIMC-IMAG, Institut de l’Ingénierie et de l’Information de Santé, Faculté de Médecine, La Tronche, France
Venue:
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Year:
2006

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Abstract

Semantic relationships like specialisation can be acquired either by word-external methods relying on the context or word-internal methods based on lexical structure. Word segments are thus a relevant cue for the automatic acquisition of semantic relationships. We have developed an unsupervised method for morphological segmentation devised for this objective. Semantic relationships are deduced from specific morphological structures based on the segments discovered. Evaluation of the validity of the semantic relationships inferred is performed against WordNet and the NCI Thesaurus.