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Automatic Prompt System in the Process of Mapping plWordNet on Princeton WordNet
Author(s) -
Paweł Kędzia,
Maciej Piasecki,
Ewa Rudnicka,
Konrad Przybycień
Publication year - 2015
Publication title -
cognitive studies
Language(s) - English
Resource type - Journals
eISSN - 2392-2397
pISSN - 2080-7147
DOI - 10.11649/cs.2013.008
Subject(s) - wordnet , computer science , process (computing) , natural language processing , artificial intelligence , expressive power , information retrieval , programming language
Automatic Prompt System in the Process of Mapping plWordNet on Princeton WordNetThe paper offers a critical evaluation of the power and usefulness of an automatic prompt system based on the extended Relaxation Labelling algorithm in the process of (manual) mapping plWordNet on Princeton WordNet. To this end the results of manual mapping – that is inter-lingual relations between plWN and PWN synsets – are juxtaposed with the automatic prompts that were generated for the source language synsets to be mapped. We check the number and type of inter-lingual relations introduced on the basis of automatic prompts and the distance of the respective prompt synsets from the actual target language synsets.

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