Abstract is missing.
- The Impact of De-identification on Downstream Named Entity Recognition in Clinical TextHanna Berg, Aron Henriksson, Hercules Dalianis. 1-11 [doi]
- Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical TextMaciej Wiatrak, Juha Iso-Sipilä. 12-17 [doi]
- Medical Concept Normalization in User-Generated Texts by Learning Target Concept EmbeddingsKatikapalli Subramanyam Kalyan, Sivanesan Sangeetha. 18-23 [doi]
- Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology ReportsAndreas Grivas, Beatrice Alex, Claire Grover, Richard Tobin, William Whiteley. 24-37 [doi]
- GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice GuidelinesFlorian Borchert, Christina Lohr, Luise Modersohn, Thomas Langer, Markus Follmann, Jan-Philipp Sachs, Udo Hahn, Matthieu-P. Schapranow. 38-48 [doi]
- Normalization of Long-tail Adverse Drug Reactions in Social MediaEmmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon, Robert-Jan Sips, Zoltan Szlanik, Selene Baez. 49-58 [doi]
- Evaluation of Machine Translation Methods applied to Medical TerminologiesKonstantinos Skianis, Yann Briand, Florent Desgrippes. 59-69 [doi]
- Information retrieval for animal disease surveillance: a pattern-based approachSarah Valentin, Mathieu Roche, Renaud Lancelot. 70-78 [doi]
- Multitask Learning of Negation and Speculation using TransformersAditya Khandelwal, Benita Kathleen Britto. 79-87 [doi]
- Biomedical Event Extraction as Multi-turn Question AnsweringXing David Wang, Leon Weber, Ulf Leser. 88-96 [doi]
- An efficient representation of chronological events in medical textsAndrey Kormilitzin, Nemanja Vaci, Qiang Liu 0009, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado. 97-103 [doi]
- Defining and Learning Refined Temporal Relations in the Clinical NarrativeKristin Wright-Bettner, Chen Lin, Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H. Martin, Guergana Savova. 104-114 [doi]
- Context-Aware Automatic Text Simplification of Health Materials in Low-Resource DomainsTarek Sakakini, Jong Yoon Lee, Aditya Duri, Renato Ferreira Leitão Azevedo, Victor Sadauskas, Kuangxiao Gu, Suma Bhat, Daniel Morrow, James Graumlich, Saqib Walayat, Mark Hasegawa-Johnson, Thomas S. Huang, Ann Willemsen-Dunlap, Donald Halpin. 115-126 [doi]
- Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its UpdatingMinghao Zhu, Youzhe Song, Ge Jin, Keyuan Jiang. 127-137 [doi]
- Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations OnlyZiyi Liu, Giannis Karamanolakis, Daniel Hsu 0001, Luis Gravano. 138-146 [doi]
- Detection of Mental Health from Reddit via Deep Contextualized RepresentationsZhengping Jiang, Sarah Ita Levitan, Jonathan Zomick, Julia Hirschberg. 147-156 [doi]