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Louhi@EMNLP 2020: Online
- Eben Holderness, Antonio Jimeno-Yepes, Alberto Lavelli, Anne-Lyse Minard, James Pustejovsky, Fabio Rinaldi:
Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, LOUHI@EMNLP 2020, Online, November 20, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-81-1 - Hanna Berg, Aron Henriksson, Hercules Dalianis:
The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text. 1-11 - Maciej Wiatrak, Juha Iso-Sipilä:
Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical Text. 12-17 - Katikapalli Subramanyam Kalyan, Sivanesan Sangeetha:
Medical Concept Normalization in User-Generated Texts by Learning Target Concept Embeddings. 18-23 - Andreas Grivas, Beatrice Alex, Claire Grover, Richard Tobin, William Whiteley:
Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports. 24-37 - Florian Borchert, Christina Lohr, Luise Modersohn, Thomas Langer, Markus Follmann, Jan-Philipp Sachs, Udo Hahn, Matthieu-P. Schapranow:
GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines. 38-48 - Emmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon, Robert-Jan Sips, Zoltán Szlávik, Selene Baez:
Normalization of Long-tail Adverse Drug Reactions in Social Media. 49-58 - Konstantinos Skianis, Yann Briand, Florent Desgrippes:
Evaluation of Machine Translation Methods applied to Medical Terminologies. 59-69 - Sarah Valentin, Renaud Lancelot, Mathieu Roche:
Information retrieval for animal disease surveillance: a pattern-based approach. 70-78 - Aditya Khandelwal, Benita Kathleen Britto:
Multitask Learning of Negation and Speculation using Transformers. 79-87 - Xing David Wang, Leon Weber, Ulf Leser:
Biomedical Event Extraction as Multi-turn Question Answering. 88-96 - Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado:
An efficient representation of chronological events in medical texts. 97-103 - Kristin Wright-Bettner, Chen Lin, Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H. Martin, Guergana Savova:
Defining and Learning Refined Temporal Relations in the Clinical Narrative. 104-114 - Tarek Sakakini, Jong Yoon Lee, Aditya Duri, Renato Ferreira Leitão Azevedo, Victor Sadauskas, Kuangxiao Gu, Suma Bhat, Daniel G. Morrow, James Graumlich, Saqib Walayat, Mark Hasegawa-Johnson, Thomas S. Huang, Ann Willemsen-Dunlap, Donald Halpin:
Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains. 115-126 - Minghao Zhu, Youzhe Song, Ge Jin, Keyuan Jiang:
Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its Updating. 127-137 - Ziyi Liu, Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only. 138-146 - Zhengping Jiang, Sarah Ita Levitan, Jonathan Zomick, Julia Hirschberg:
Detection of Mental Health from Reddit via Deep Contextualized Representations. 147-156
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