@inproceedings{carreto-fidalgo-etal-2021-system,
title = "System description for {P}rof{NER} - {SMMH}: Optimized finetuning of a pretrained transformer and word vectors",
author = "Carreto Fidalgo, David and
Vila-Suero, Daniel and
Aranda Montes, Francisco and
Talavera Cepeda, Ignacio",
editor = "Magge, Arjun and
Klein, Ari and
Miranda-Escalada, Antonio and
Al-garadi, Mohammed Ali and
Alimova, Ilseyar and
Miftahutdinov, Zulfat and
Farre-Maduell, Eulalia and
Lopez, Salvador Lima and
Flores, Ivan and
O'Connor, Karen and
Weissenbacher, Davy and
Tutubalina, Elena and
Sarker, Abeed and
Banda, Juan M and
Krallinger, Martin and
Gonzalez-Hernandez, Graciela",
booktitle = "Proceedings of the Sixth Social Media Mining for Health ({\#}SMM4H) Workshop and Shared Task",
month = jun,
year = "2021",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.smm4h-1.11",
doi = "10.18653/v1/2021.smm4h-1.11",
pages = "69--73",
abstract = "This shared task system description depicts two neural network architectures submitted to the ProfNER track, among them the winning system that scored highest in the two sub-tasks 7a and 7b. We present in detail the approach, preprocessing steps and the architectures used to achieve the submitted results, and also provide a GitHub repository to reproduce the scores. The winning system is based on a transformer-based pretrained language model and solves the two sub-tasks simultaneously.",
}
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%0 Conference Proceedings
%T System description for ProfNER - SMMH: Optimized finetuning of a pretrained transformer and word vectors
%A Carreto Fidalgo, David
%A Vila-Suero, Daniel
%A Aranda Montes, Francisco
%A Talavera Cepeda, Ignacio
%Y Magge, Arjun
%Y Klein, Ari
%Y Miranda-Escalada, Antonio
%Y Al-garadi, Mohammed Ali
%Y Alimova, Ilseyar
%Y Miftahutdinov, Zulfat
%Y Farre-Maduell, Eulalia
%Y Lopez, Salvador Lima
%Y Flores, Ivan
%Y O’Connor, Karen
%Y Weissenbacher, Davy
%Y Tutubalina, Elena
%Y Sarker, Abeed
%Y Banda, Juan M.
%Y Krallinger, Martin
%Y Gonzalez-Hernandez, Graciela
%S Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task
%D 2021
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F carreto-fidalgo-etal-2021-system
%X This shared task system description depicts two neural network architectures submitted to the ProfNER track, among them the winning system that scored highest in the two sub-tasks 7a and 7b. We present in detail the approach, preprocessing steps and the architectures used to achieve the submitted results, and also provide a GitHub repository to reproduce the scores. The winning system is based on a transformer-based pretrained language model and solves the two sub-tasks simultaneously.
%R 10.18653/v1/2021.smm4h-1.11
%U https://aclanthology.org/2021.smm4h-1.11
%U https://doi.org/10.18653/v1/2021.smm4h-1.11
%P 69-73
Markdown (Informal)
[System description for ProfNER - SMMH: Optimized finetuning of a pretrained transformer and word vectors](https://aclanthology.org/2021.smm4h-1.11) (Carreto Fidalgo et al., SMM4H 2021)
ACL