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3 avril 2016
- handle: 10670/1.7vbdbo
- hal: hal-01344977
info:eu-repo/semantics/OpenAccess
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Learning, Machine Frenchmen (French people)Citer ce document
Adèle Désoyer et al., « Coreference Resolution for French Oral Data: Machine Learning Experiments with ANCOR », HAL-SHS : linguistique, ID : 10670/1.7vbdbo
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Résumé
We present CROC (Coreference Resolution for Oral Corpus), the first machine learning system for coreference resolution in French. One specific aspect of the system is that it has been trained on data that come exclusively from transcribed speech, namely ANCOR (ANaphora and Coreference in ORal corpus), the first large-scale French corpus with anaphorical relation annotations. In its current state, the CROC system requires pre-annotated mentions. We detail the features used for the learning algorithms, and we present a set of experiments with these features. The scores we obtain are close to those of state-of-the-art systems for written English.