Veyn at PARSEME Shared Task 2018: Recurrent Neural Networks for VMWE Identification
Nicolas Zampieri, Manon Scholivet, Carlos Ramisch, Benoit Favre
Abstract
This paper describes the Veyn system, submitted to the closed track of the PARSEME Shared Task 2018 on automatic identification of verbal multiword expressions (VMWEs). Veyn is based on a sequence tagger using recurrent neural networks. We represent VMWEs using a variant of the begin-inside-outside encoding scheme combined with the VMWE category tag. In addition to the system description, we present development experiments to determine the best tagging scheme. Veyn is freely available, covers 19 languages, and was ranked ninth (MWE-based) and eight (Token-based) among 13 submissions, considering macro-averaged F1 across languages.- Anthology ID:
- W18-4933
- Volume:
- Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
- Month:
- August
- Year:
- 2018
- Address:
- Santa Fe, New Mexico, USA
- Editors:
- Agata Savary, Carlos Ramisch, Jena D. Hwang, Nathan Schneider, Melanie Andresen, Sameer Pradhan, Miriam R. L. Petruck
- Venues:
- LAW | MWE
- SIGs:
- SIGANN | SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 290–296
- Language:
- URL:
- https://aclanthology.org/W18-4933
- DOI:
- Cite (ACL):
- Nicolas Zampieri, Manon Scholivet, Carlos Ramisch, and Benoit Favre. 2018. Veyn at PARSEME Shared Task 2018: Recurrent Neural Networks for VMWE Identification. In Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), pages 290–296, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
- Cite (Informal):
- Veyn at PARSEME Shared Task 2018: Recurrent Neural Networks for VMWE Identification (Zampieri et al., LAW-MWE 2018)
- PDF:
- https://preview.aclanthology.org/fix-dup-bibkey/W18-4933.pdf
- Code
- zamp13/Veyn