Neural networks for multi-word expression detection
Proceedings of the 13th workshop on multiword expressions (MWE 2017), 2017•hal.science
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 …
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 …
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 categorize VMWEs type in nearly all languages.
hal.science
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