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        <title>Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection</title>
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        <namePart type="given">Xiang</namePart>
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        <namePart type="family">Karimi</namePart>
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            <namePart type="given">Graciela</namePart>
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    <abstract>Vaccination behaviour detection deals with predicting whether or not a person received/was about to receive a vaccine. We present our submission for vaccination behaviour detection shared task at the SMM4H workshop. Our findings are based on three prevalent text classification approaches: rule-based, statistical and deep learning-based. Our final submissions are: (1) an ensemble of statistical classifiers with task-specific features derived using lexicons, language processing tools and word embeddings; and, (2) a LSTM classifier with pre-trained language models.</abstract>
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%0 Conference Proceedings
%T Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection
%A Joshi, Aditya
%A Dai, Xiang
%A Karimi, Sarvnaz
%A Sparks, Ross
%A Paris, Cécile
%A MacIntyre, C. Raina
%Y Gonzalez-Hernandez, Graciela
%Y Weissenbacher, Davy
%Y Sarker, Abeed
%Y Paul, Michael
%S Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F joshi-etal-2018-shot
%X Vaccination behaviour detection deals with predicting whether or not a person received/was about to receive a vaccine. We present our submission for vaccination behaviour detection shared task at the SMM4H workshop. Our findings are based on three prevalent text classification approaches: rule-based, statistical and deep learning-based. Our final submissions are: (1) an ensemble of statistical classifiers with task-specific features derived using lexicons, language processing tools and word embeddings; and, (2) a LSTM classifier with pre-trained language models.
%R 10.18653/v1/W18-5911
%U https://aclanthology.org/W18-5911
%U https://doi.org/10.18653/v1/W18-5911
%P 43-47

Markdown (Informal)

[Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection](https://aclanthology.org/W18-5911) (Joshi et al., EMNLP 2018)

• Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection (Joshi et al., EMNLP 2018)

ACL

• Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, and C Raina MacIntyre. 2018. Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. In Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, pages 43–47, Brussels, Belgium. Association for Computational Linguistics.