@inproceedings{834aa3a3d2d7402e9862342eb9747208,
title = "Cross-lingual Semantic Role Labelling with the Valpal database knowledge",
abstract = "Cross-lingual Transfer Learning typically involves training a model on a high-resource source language and applying it to a low-resource target language. In this work we introduce a lexical database called Valency Patterns Leipzig (ValPal) which provides the argument pattern information about various verb-forms in multiple languages including low-resource languages. We also provide a framework to integrate the ValPal database knowledge into the state-of-the-art LSTM based model for cross-lingual semantic role labelling. Experimental results show that integrating such knowledge resulted in am improvement in performance of the model on all the target languages on which it is evaluated.",
author = "Chinmay Choudhary and Colm O'Riordan",
note = "Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; Deep Learning Inside Out: 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, DeeLIO 2022 ; Conference date: 27-05-2022",
year = "2022",
language = "English",
series = "DeeLIO 2022 - Deep Learning Inside Out: 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "1--10",
editor = "Eneko Agirre and Marianna Apidianaki and Ivan Vulic",
booktitle = "DeeLIO 2022 - Deep Learning Inside Out",
}