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            <namePart type="given">Anna</namePart>
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    <abstract>Many NLP learning tasks can be decomposed into several distinct sub-tasks, each associated with a partial label. In this paper we focus on a popular class of learning problems, sequence prediction applied to several sentiment analysis tasks, and suggest a modular learning approach in which different sub-tasks are learned using separate functional modules, combined to perform the final task while sharing information. Our experiments show this approach helps constrain the learning process and can alleviate some of the supervision efforts.</abstract>
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%0 Conference Proceedings
%T Sentiment Tagging with Partial Labels using Modular Architectures
%A Zhang, Xiao
%A Goldwasser, Dan
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F zhang-goldwasser-2019-sentiment
%X Many NLP learning tasks can be decomposed into several distinct sub-tasks, each associated with a partial label. In this paper we focus on a popular class of learning problems, sequence prediction applied to several sentiment analysis tasks, and suggest a modular learning approach in which different sub-tasks are learned using separate functional modules, combined to perform the final task while sharing information. Our experiments show this approach helps constrain the learning process and can alleviate some of the supervision efforts.
%R 10.18653/v1/P19-1055
%U https://aclanthology.org/P19-1055
%U https://doi.org/10.18653/v1/P19-1055
%P 579-590

Markdown (Informal)

[Sentiment Tagging with Partial Labels using Modular Architectures](https://aclanthology.org/P19-1055) (Zhang & Goldwasser, ACL 2019)

• Sentiment Tagging with Partial Labels using Modular Architectures (Zhang & Goldwasser, ACL 2019)

ACL

• Xiao Zhang and Dan Goldwasser. 2019. Sentiment Tagging with Partial Labels using Modular Architectures. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 579–590, Florence, Italy. Association for Computational Linguistics.