Abstract
This paper describes our participation in the EVALITA 2011 Dependency Parsing Task. In the 2009 edition we participated with MaltParser, reusing feature models developed for Italian in the CoNLL 2007 shared task. In 2011, we compared the results obtained by different parsing algorithms implemented in MaltParser with an ensemble model made available by Mihai Surdeanu. The best results were achieved by the ensemble model which was selected for the official submission. In the final evaluation, our system finished third in the dependency parsing task.
We thank Joakim Nivre and Mihai Surdeanu for making their parsers available and for kindly answering our questions about their usage.
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Lavelli, A. (2013). An Ensemble Model for the EVALITA 2011 Dependency Parsing Task. In: Magnini, B., Cutugno, F., Falcone, M., Pianta, E. (eds) Evaluation of Natural Language and Speech Tools for Italian. EVALITA 2012. Lecture Notes in Computer Science(), vol 7689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35828-9_4
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