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- 315 creator alessandra-zarcone.
- 315 creator alessandro-lenci.
- 315 type InProceedings.
- 315 label "Computational Models for Event Type Classification in Context".
- 315 sameAs 315.
- 315 abstract "Verb lexical semantic properties are only one of the factors that contribute to the determination of the event type expressed by a sentence, which is instead the result of a complex interplay between the verb meaning and its linguistic context. We report on two computational models for the automatic identification of event type in Italian. Both models use linguistically-motivated features extracted from Italian corpora. The main goal of our experiments is to evaluate the contribution of different types of linguistic indicators to identify the event type of a sentence, as well as to model various cases of context-driven event type shift. In the first model, event type identification has been modelled as a supervised classification task, performed with Maximum Entropy classifiers. In the second model, Self-Organizing Maps have been used to define and identify event types in an unsupervised way. The interaction of various contextual factors in determining the event type expressed by a sentence makes event type identification a highly challenging task. Computational models can help us to shed new light on the real structure of event type classes as well as to gain a better understanding of context-driven semantic shifts.".
- 315 hasAuthorList authorList.
- 315 hasTopic Linguistics.
- 315 isPartOf proceedings.
- 315 keyword "Acquisition, Machine Learning".
- 315 keyword "Semantics".
- 315 keyword "Word Sense Disambiguation".
- 315 title "Computational Models for Event Type Classification in Context".