@inproceedings{bagherzadeh-bergler-2021-multi,
title = "Multi-input Recurrent Independent Mechanisms for leveraging knowledge sources: Case studies on sentiment analysis and health text mining",
author = "Bagherzadeh, Parsa and
Bergler, Sabine",
editor = "Agirre, Eneko and
Apidianaki, Marianna and
Vuli{\'c}, Ivan",
booktitle = "Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.deelio-1.11",
doi = "10.18653/v1/2021.deelio-1.11",
pages = "108--118",
abstract = "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.",
}
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%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
Markdown (Informal)
[Multi-input Recurrent Independent Mechanisms for leveraging knowledge sources: Case studies on sentiment analysis and health text mining](https://aclanthology.org/2021.deelio-1.11) (Bagherzadeh & Bergler, DeeLIO 2021)
ACL