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% Selection : Reference #281
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@InProceedings{Buitelaar_et_al:2001,
      AUTHOR = {Buitelaar, Paul and Alexandersson, Jan and Jaeger, Tilman and Lesch, Stephan and Pfleger, Norbert and Raileanu, Diana and von den Berg, Tanja and Klöckner, Kerstin and Neis, Holger and Schlarb, Hubert},
      TITLE = {An Unsupervised Semantic Tagger Applied to German},
      YEAR = {2001},
      BOOKTITLE = {Proceedings of the 3rd Conference on Recent Advances in Natural Language Processing (RANLP'01), September 5-7},
      ADDRESS = {Tzigov Chark, Bulgaria},
      URL = {ftp://lt-ftp.dfki.uni-sb.de/pub/papers/local/ranlp01.ps ftp://lt-ftp.dfki.uni-sb.de/pub/papers/local/ranlp01.pdf http://dfki.de/~paulb/ranlp01.pdf},
      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.},
      ANNOTE = {COLIURL : Buitelaar:2001:UST.pdf Buitelaar:2001:UST.ps}
}