Proceedings-Artikel
An Unsupervised Semantic Tagger Applied to German
Paul Buitelaar; Jan Alexandersson; Tilman Jäger; Stephan Lesch; Norbert Pfleger; Diana Raileanu; Tanja von den Berg; Kerstin Klöckner; Holger Neis; Hubert Schlarb
In: Proceedings of the 3rd Conference on Recent Advances in Natural Language Processing (RANLP'01), September 5-7. RANLP-01, September 5-7, Tzigov Chark, Bouvet Island, 2001.
Abstract
We describe an unsupervised semantic tagger, applied to German, but which could be used with any language for which a corresponding "XNet" (WordNet, GermaNet, e tc.), POS tagger and morphological analyzer are available. Disambiguation is per formed by comparing co-occurrence weights on pairs of semantic classes (synsets from GermaNet). Precision is around 67% at a recall of around 65% (for all ambig uous words -- 81% for all words at a recall of 80%). Our results show the influe nce of context size and of semantic class frequency in the training corpus.