%0 Conference Proceedings %T Multi-input Recurrent Independent Mechanisms for leveraging knowledge sources: Case studies on sentiment analysis and health text mining %A Bagherzadeh, Parsa %A Bergler, Sabine %Y Agirre, Eneko %Y Apidianaki, Marianna %Y Vulić, Ivan %S Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures %D 2021 %8 June %I Association for Computational Linguistics %C Online %F bagherzadeh-bergler-2021-multi %X This paper presents a way to inject and leverage existing knowledge from external sources in a Deep Learning environment, extending the recently proposed Recurrent Independent Mechnisms (RIMs) architecture, which comprises a set of interacting yet independent modules. We show that this extension of the RIMs architecture is an effective framework with lower parameter implications compared to purely fine-tuned systems. %R 10.18653/v1/2021.deelio-1.11 %U https://aclanthology.org/2021.deelio-1.11 %U https://doi.org/10.18653/v1/2021.deelio-1.11 %P 108-118