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        <title>Drug-Use Identification from Tweets with Word and Character N-Grams</title>
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    <abstract>This paper describes our systems in social media mining for health applications (SMM4H) shared task. We participated in all four tracks of the shared task using linear models with a combination of character and word n-gram features. We did not use any external data or domain specific information. The resulting systems achieved above-average scores among other participating systems, with F1-scores of 91.22, 46.8, 42.4, and 85.53 on tasks 1, 2, 3, and 4 respectively.</abstract>
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%0 Conference Proceedings
%T Drug-Use Identification from Tweets with Word and Character N-Grams
%A Çöltekin, Çağrı
%A Rama, Taraka
%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 coltekin-rama-2018-drug
%X This paper describes our systems in social media mining for health applications (SMM4H) shared task. We participated in all four tracks of the shared task using linear models with a combination of character and word n-gram features. We did not use any external data or domain specific information. The resulting systems achieved above-average scores among other participating systems, with F1-scores of 91.22, 46.8, 42.4, and 85.53 on tasks 1, 2, 3, and 4 respectively.
%R 10.18653/v1/W18-5914
%U https://aclanthology.org/W18-5914/
%U https://doi.org/10.18653/v1/W18-5914
%P 52-53

Markdown (Informal)

[Drug-Use Identification from Tweets with Word and Character N-Grams](https://aclanthology.org/W18-5914/) (Çöltekin & Rama, EMNLP 2018)

• Drug-Use Identification from Tweets with Word and Character N-Grams (Çöltekin & Rama, EMNLP 2018)

ACL

• Çağrı Çöltekin and Taraka Rama. 2018. Drug-Use Identification from Tweets with Word and Character N-Grams. In Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, pages 52–53, Brussels, Belgium. Association for Computational Linguistics.