Abstract
The Frame Labeling over Italian Texts (FLaIT) task is an SRL evaluation exercise part of the Evalita 2011. In this paper we present CELI’s participation in Evalita 2011 FLaIT task. Based on Markov model reasoning, our system obtained the highest precision in comparison to the other participants. The core of our approach for argument classification is based on a set of general manually encoded rules in two reasoning systems. We have also developed modules for Frame Prediction and Boundary Detection based on lexical parser.
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Dini, L., Kouylekov, M., Testa, M., Trevisan, M. (2013). Two Level Approach to SRL. 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_22
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DOI: https://doi.org/10.1007/978-3-642-35828-9_22
Publisher Name: Springer, Berlin, Heidelberg
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