@inproceedings{choudhary-oriordan-2022-cross,
title = "Cross-lingual Semantic Role Labelling with the {V}alpal database knowledge",
author = "Choudhary, Chinmay and
O{'}Riordan, Colm",
editor = "Agirre, Eneko and
Apidianaki, Marianna and
Vuli{\'c}, Ivan",
booktitle = "Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures",
month = may,
year = "2022",
address = "Dublin, Ireland and Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.deelio-1.1/",
doi = "10.18653/v1/2022.deelio-1.1",
pages = "1--10",
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."
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%0 Conference Proceedings
%T Cross-lingual Semantic Role Labelling with the Valpal database knowledge
%A Choudhary, Chinmay
%A O’Riordan, Colm
%Y Agirre, Eneko
%Y Apidianaki, Marianna
%Y Vulić, Ivan
%S Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland and Online
%F choudhary-oriordan-2022-cross
%X 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.
%R 10.18653/v1/2022.deelio-1.1
%U https://aclanthology.org/2022.deelio-1.1/
%U https://doi.org/10.18653/v1/2022.deelio-1.1
%P 1-10
Markdown (Informal)
[Cross-lingual Semantic Role Labelling with the Valpal database knowledge](https://aclanthology.org/2022.deelio-1.1/) (Choudhary & O’Riordan, DeeLIO 2022)
ACL