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Automatic Acquisition of Semantic Relationships from Morphological Relatedness

  • Delphine Bernhard
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4139)

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.

Keywords

Semantic Relation Related Word Semantic Relationship Semantic Link Automatic Acquisition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Delphine Bernhard
    • 1
  1. 1.TIMC-IMAGInstitut de l’Ingénierie et de l’Information de Santé, Faculté de MédecineLa TroncheFrance

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