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It helps us relax and recharge. Click here to sign up. Mcdonald, R. People work hard for their money andwe believe they should always get a good deal. Possible cause is that the Gold dataset has got a richer argumental structure than the one of our lexicon with respect to the given relation. Maruyama, H.: Bosco, C.
The systematic errors listed above are the It is interesting to note that once the eight cases of error have been solved or accepted, the LAS value would be There is also an expected error related to the attachment to the modal verb. In those sentences where a given atom e.
Since our grammar follows the one of the TUT, this fact caused 14 errors the discrepancy in the annotation causes actually two errors for every occurrence.
We trust the annotation of the TUT so we do not consider those be real errors. Other discrepancies have been found between the Gold dataset and the TUT treebank that in agreement with Bosco and Lavelli  they have not been taken into account. References 1. Attardi, G.: Experiments with a multilanguage non-projective dependency parser.
Barbosa, P. Is the Best Good Enough? Optimality and Competition in Syntax. Bosco, C. Annotation schema oriented evaluation for dependency pars- ing validation.
Tartu 4. Evalita09 parsing task: Proceed- ings of Evalita09, Reggio Emilia , http: Debusmann, R.
Extensible dependency grammar: A new methodology. Duchier, D.: Axiomatizing dependency parsing using set constraints.
Eisner, J. Three new probabilistic models for dependency parsing: An explo- ration.
Harper, M. Extensions to constraint depen- dency parsing for spoken language processing. Computer Speech and Language 9, — 9. Lesmo, L.: The Turin University parser at Evalita Proceedings of Evalita09, Reggio Emilia Lesmo, L.
Treebank development: Vikas Publishing House , http: Maruyama, H.: Structural disambiguation with constraint propagation. Pro- ceedings of the 28th conference on Association for Computational Linguistics. Association for Computational Linguistics McCord, M. Slot grammars. Computational Linguistics 6, 31—43 Jan Mcdonald, R. Menzel, W. Decision procedures for dependency parsing using graded constraints.
Nivre, J.: An efficient algorithm for projective dependency parsing. Robaldo, L. Rossi, F. Elsevier Science Inc. Schulte, C. A generic constraint development environment Nov , http: Taft, S.
Ada Refer- ence Manual.
Language and Standard Libraries: Springer-Verlag New York, Inc. Tsang, E.
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