@inproceedings{1a16381d57f64a73b619824a9f68beaf,
title = "End-to-end mBERT based Seq2seq Enhanced Dependency Parser with Linguistic Typology knowledge",
abstract = "We describe the NUIG solution for IWPT 2021 Shared Task of Enhanced Dependency (ED) parsing in multiple languages. For this shared task, we propose and evaluate an End-to-end Seq2seq mBERT- based ED parser which predicts the ED-parse tree of a given input sentence as a relative head-position tag-sequence. Our proposed model is a multitasking neural-network which performs five key tasks simultaneously namely UPOS-tagging, UFeat-tagging, Lemmatization, Dependency-parsing and ED-parsing. Furthermore we utilise the linguistic typology available in the WALS database to improve the ability of our proposed end-to-end parser to transfer across languages. Results show that our proposed Seq2seq ED-parser performs on par with state-of-the-art ED-parser despite having a much simpler design.",
author = "Chinmay Choudhary and \{O{\textquoteright} Riordan\}, Colm",
note = "Publisher Copyright: {\textcopyright}2021 Association for Computational Linguistics.; 17th International Conference on Parsing Technologies, IWPT 2021 ; Conference date: 06-08-2021 Through 06-08-2021",
year = "2021",
language = "English",
series = "Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies, IWPT 2021",
publisher = "Association for Computational Linguistics (ACL)",
pages = "225--232",
editor = "Stephan Oepen and Kenji Sagae and Reut Tsarfaty and Gosse Bouma and Djame Seddah and Daniel Zeman",
booktitle = "Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies, IWPT 2021",
}