Xiyu Ding, Mei-Hua Hall, Timothy Miller. Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries. In Anna Rumshisky, Kirk Roberts, Steven Bethard, Tristan Naumann, editors, Proceedings of the 3rd Clinical Natural Language Processing Workshop, ClinicalNLP@EMNLP 2020, Online, November 19, 2020. pages 35-40, Association for Computational Linguistics, 2020. [doi]
@inproceedings{DingHM20-0,
title = {Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries},
author = {Xiyu Ding and Mei-Hua Hall and Timothy Miller},
year = {2020},
doi = {10.18653/v1/2020.clinicalnlp-1.4},
url = {https://doi.org/10.18653/v1/2020.clinicalnlp-1.4},
researchr = {https://researchr.org/publication/DingHM20-0},
cites = {0},
citedby = {0},
pages = {35-40},
booktitle = {Proceedings of the 3rd Clinical Natural Language Processing Workshop, ClinicalNLP@EMNLP 2020, Online, November 19, 2020},
editor = {Anna Rumshisky and Kirk Roberts and Steven Bethard and Tristan Naumann},
publisher = {Association for Computational Linguistics},
isbn = {978-1-952148-74-3},
}