📰 International Workshop on Health Text Mining and Information Analysis 2020 — accepted papers

International Workshop on Health Text Mining and Information Analysis 2020 is the 2020 edition of the International Workshop on Health Text Mining and Information Analysis, held in Online, November 2020 (publisher: Association for Computational Linguistics). The ACL Anthology lists 16 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Online · 🗓 November 2020

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Detection of Mental Health from Reddit via Deep Contextualized Representations ↗Zhengping Jiang, Sarah Ita Levitan, Jonathan Zomick et al.75 citations
2. Biomedical Event Extraction as Multi-turn Question Answering ↗Xing David Wang, Leon Weber, Ulf Leser38 citations
3. Multitask Learning of Negation and Speculation using Transformers ↗Aditya Khandelwal, Benita Kathleen Britto20 citations
4. Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports ↗Andreas Grivas, Beatrice Alex, Claire Grover et al.18 citations
5. GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines ↗Florian Borchert, Christina Lohr, Luise Modersohn et al.17 citations
6. Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its Updating ↗Minghao Zhu, Youzhe Song, Ge Jin et al.16 citations
7. The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text ↗Hanna Berg, Aron Henriksson, Hercules Dalianis16 citations
8. Defining and Learning Refined Temporal Relations in the Clinical Narrative ↗Kristin Wright-Bettner, Chen Lin, Timothy Miller et al.14 citations
9. Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical Text ↗Maciej Wiatrak, Juha Iso-Sipila13 citations
10. Evaluation of Machine Translation Methods applied to Medical Terminologies ↗Konstantinos Skianis, Yann Briand, Florent Desgrippes10 citations

All accepted papers (16)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. Detection of Mental Health from Reddit via Deep Contextualized Representations ↗Zhengping Jiang, Sarah Ita Levitan, Jonathan Zomick et al.75 citations
2. Biomedical Event Extraction as Multi-turn Question Answering ↗Xing David Wang, Leon Weber, Ulf Leser38 citations
3. Multitask Learning of Negation and Speculation using Transformers ↗Aditya Khandelwal, Benita Kathleen Britto20 citations
4. Not a cute stroke: Analysis of Rule- and Neural Network-based Information Extraction Systems for Brain Radiology Reports ↗Andreas Grivas, Beatrice Alex, Claire Grover et al.18 citations
5. GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines ↗Florian Borchert, Christina Lohr, Luise Modersohn et al.17 citations
6. Identifying Personal Experience Tweets of Medication Effects Using Pre-trained RoBERTa Language Model and Its Updating ↗Minghao Zhu, Youzhe Song, Ge Jin et al.16 citations
7. The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text ↗Hanna Berg, Aron Henriksson, Hercules Dalianis16 citations
8. Defining and Learning Refined Temporal Relations in the Clinical Narrative ↗Kristin Wright-Bettner, Chen Lin, Timothy Miller et al.14 citations
9. Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical Text ↗Maciej Wiatrak, Juha Iso-Sipila13 citations
10. Evaluation of Machine Translation Methods applied to Medical Terminologies ↗Konstantinos Skianis, Yann Briand, Florent Desgrippes10 citations
11. An efficient representation of chronological events in medical texts ↗Andrey Kormilitzin, Nemanja Vaci, Qiang Liu et al.8 citations
12. Medical Concept Normalization in User-Generated Texts by Learning Target Concept Embeddings ↗Katikapalli Subramanyam Kalyan, Sivanesan Sangeetha7 citations
13. Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains ↗Tarek Sakakini, Jong Yoon Lee, Aditya Duri et al.6 citations
14. Normalization of Long-tail Adverse Drug Reactions in Social Media ↗Emmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon et al.2 citations
15. Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations OnlyZiyi Liu, Giannis Karamanolakis, Daniel Hsu et al.1 citation · our summary
16. Information retrieval for animal disease surveillance: a pattern-based approach. ↗Sarah Valentin, Mathieu Roche, Renaud Lancelot1 citation

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations OnlyInternational Workshop on Health Text Mining and Information AnalysisZiyi Liu, Giannis Karamanolakis, Daniel Hsu, et al.2020 · 1 citation

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🌍Multilingual & cross-lingual NLP (1)English (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓Columbia UniversityNew York · United States1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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