Cross-lingual Semantic Role Labelling with the ValPaL Database Knowledge
Chinmay Choudhary, Colm O’Riordan · 2022
Cross-lingual Transfer Learning typically involves training a model on a high-resource source language and applying it to a lowresource 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.