@inproceedings{gondane-2019-neural,
title = "Neural Network to Identify Personal Health Experience Mention in Tweets Using {B}io{BERT} Embeddings",
author = "Gondane, Shubham",
editor = "Weissenbacher, Davy and
Gonzalez-Hernandez, Graciela",
booktitle = "Proceedings of the Fourth Social Media Mining for Health Applications ({\#}SMM4H) Workshop {\&} Shared Task",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-3218/",
doi = "10.18653/v1/W19-3218",
pages = "110--113",
abstract = "This paper describes the system developed by team ASU-NLP for the Social Media Mining for Health Applications(SMM4H) shared task 4. We extract feature embeddings from the BioBERT (Lee et al., 2019) model which has been fine-tuned on the training dataset and use that as inputs to a dense fully connected neural network. We achieve above average scores among the participant systems with the overall F1-score, accuracy, precision, recall as 0.8036, 0.8456, 0.9783, 0.6818 respectively."
}
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%0 Conference Proceedings
%T Neural Network to Identify Personal Health Experience Mention in Tweets Using BioBERT Embeddings
%A Gondane, Shubham
%Y Weissenbacher, Davy
%Y Gonzalez-Hernandez, Graciela
%S Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F gondane-2019-neural
%X This paper describes the system developed by team ASU-NLP for the Social Media Mining for Health Applications(SMM4H) shared task 4. We extract feature embeddings from the BioBERT (Lee et al., 2019) model which has been fine-tuned on the training dataset and use that as inputs to a dense fully connected neural network. We achieve above average scores among the participant systems with the overall F1-score, accuracy, precision, recall as 0.8036, 0.8456, 0.9783, 0.6818 respectively.
%R 10.18653/v1/W19-3218
%U https://aclanthology.org/W19-3218/
%U https://doi.org/10.18653/v1/W19-3218
%P 110-113
Markdown (Informal)
[Neural Network to Identify Personal Health Experience Mention in Tweets Using BioBERT Embeddings](https://aclanthology.org/W19-3218/) (Gondane, ACL 2019)
ACL