Abstract: International audience; In this paper we describe the MUMULS system that participated to the 2017 shared task on automatic identification of verbal multiword expressions (VMWEs). The MUMULS system was implemented using a supervised approach based on recurrent neural networks using the open source library TensorFlow. The model was trained on a data set containing annotated VMWEs as well as morphological and syntactic information. The MU-MULS system performed the identification of VMWEs in 15 languages, it was one of few systems that could catego...
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Topics: 
Artificial intelligence
Natural language processing
Speech recognition