@inproceedings{87d9ef5756e649ae8418362af8389d34,
title = "Improving the performance of UDify with Linguistic Typology Knowledge",
abstract = "UDify is the state-of-the-art language-agnostic dependency parser which is trained on a polyglot corpus of 75 languages. This multilingual modeling enables the model to generalize over unknown/lesser-known languages, thus leading to improved performance on low-resource languages. In this work we used linguistic typology knowledge available in URIEL database, to improve the cross-lingual transferring ability of UDify even further.",
author = "Chinmay Choudhary and Colm O'Riordan",
note = "Publisher Copyright: {\textcopyright} 2021 Association for Computational Linguistics.; 3rd Workshop on Research in Computational Typology and Multilingual NLP, SIGTYP 2021 ; Conference date: 10-06-2021",
year = "2021",
language = "English",
series = "SIGTYP 2021 - 3rd Workshop on Research in Computational Typology and Multilingual NLP, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "38--60",
editor = "Ekaterina Vylomova and Elizabeth Salesky and Sabrina Mielke and Gabriella Lapesa and Ritesh Kumar and Harald Hammarstrom and Ivan Vulic and Anna Korhonen and Roi Reichart and Ponti, \{Edoardo Maria\} and Ryan Cotterell",
booktitle = "SIGTYP 2021 - 3rd Workshop on Research in Computational Typology and Multilingual NLP, Proceedings of the Workshop",
}