---
title: "Workshop on Clinical Natural Language Processing"
description: "Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2020 — accepted papers: 1 paper in the Elamur Research library…"
canonical: "https://research.elamur.ai/free/en/venues/clinicalnlp/2020/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/clinicalnlp/2020/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Workshop on Clinical Natural Language…](https://md.research.elamur.ai/free/en/venues/clinicalnlp/) / 2020

# Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2020 — accepted papers

Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2020 is the 2020 edition of the Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC, held in Online, November 2020 (publisher: European Language Resources Association (ELRA)). The ACL Anthology lists 33 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

[**33** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2020/#works) · [**241** citations of these works](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2020/#works)

## Most cited papers

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

1. **[Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art](https://md.research.elamur.ai/free/en/papers/lewis-2020-pretrained-language-models-biomedical-clinical/)**Patrick Lewis, Myle Ott, Jingfei Du et al.*167 citations · our summary*
2. **[BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition ↗](https://aclanthology.org/2020.clinicalnlp-1.7/)**Elisa Terumi Rubel Schneider, João Vitor Andrioli de Souza, Julien Knafou et al.*94 citations*
3. **[BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining ↗](https://aclanthology.org/2020.clinicalnlp-1.3/)**Zachariah Zhang, Jingshu Liu, Narges Razavian*76 citations*
4. **[Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation ↗](https://aclanthology.org/2020.clinicalnlp-1.11/)**Kexin Huang, Abhishek Singh, Sitong Chen et al.*54 citations*
5. **[The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish ↗](https://aclanthology.org/2020.clinicalnlp-1.32/)**Pablo Báez, Fabián Villena, Matías Rojas et al.*35 citations*
6. **[MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining ↗](https://aclanthology.org/2020.clinicalnlp-1.15/)**Zhi Wen, Xing Han Lu, Siva Reddy*28 citations*
7. **[Assessment of DistilBERT performance on Named Entity Recognition task for the detection of Protected Health Information and medical concepts ↗](https://aclanthology.org/2020.clinicalnlp-1.18/)**Macarious Abadeer*20 citations*
8. **[Learning from Unlabelled Data for Clinical Semantic Textual Similarity ↗](https://aclanthology.org/2020.clinicalnlp-1.25/)**Yuxia Wang, Karin Verspoor, Timothy Baldwin*20 citations*
9. **[Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text ↗](https://aclanthology.org/2020.clinicalnlp-1.8/)**Shaoxiong Ji, Erik Cambria, Pekka Marttinen*19 citations*
10. **[Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics ↗](https://aclanthology.org/2020.clinicalnlp-1.26/)**Miao Chen, Ganhui Lan, Fang Du et al.*19 citations*

## All accepted papers (33)

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

1. **[Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art](https://md.research.elamur.ai/free/en/papers/lewis-2020-pretrained-language-models-biomedical-clinical/)**Patrick Lewis, Myle Ott, Jingfei Du et al.*167 citations · our summary*
2. **[BioBERTpt - A Portuguese Neural Language Model for Clinical Named Entity Recognition ↗](https://aclanthology.org/2020.clinicalnlp-1.7/)**Elisa Terumi Rubel Schneider, João Vitor Andrioli de Souza, Julien Knafou et al.*94 citations*
3. **[BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining ↗](https://aclanthology.org/2020.clinicalnlp-1.3/)**Zachariah Zhang, Jingshu Liu, Narges Razavian*76 citations*
4. **[Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation ↗](https://aclanthology.org/2020.clinicalnlp-1.11/)**Kexin Huang, Abhishek Singh, Sitong Chen et al.*54 citations*
5. **[The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish ↗](https://aclanthology.org/2020.clinicalnlp-1.32/)**Pablo Báez, Fabián Villena, Matías Rojas et al.*35 citations*
6. **[MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining ↗](https://aclanthology.org/2020.clinicalnlp-1.15/)**Zhi Wen, Xing Han Lu, Siva Reddy*28 citations*
7. **[Assessment of DistilBERT performance on Named Entity Recognition task for the detection of Protected Health Information and medical concepts ↗](https://aclanthology.org/2020.clinicalnlp-1.18/)**Macarious Abadeer*20 citations*
8. **[Learning from Unlabelled Data for Clinical Semantic Textual Similarity ↗](https://aclanthology.org/2020.clinicalnlp-1.25/)**Yuxia Wang, Karin Verspoor, Timothy Baldwin*20 citations*
9. **[Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text ↗](https://aclanthology.org/2020.clinicalnlp-1.8/)**Shaoxiong Ji, Erik Cambria, Pekka Marttinen*19 citations*
10. **[Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics ↗](https://aclanthology.org/2020.clinicalnlp-1.26/)**Miao Chen, Ganhui Lan, Fang Du et al.*19 citations*
11. **[Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction ↗](https://aclanthology.org/2020.clinicalnlp-1.6/)**Sankaran Narayanan, Kaivalya Mannam, Sreeranga P Rajan et al.*18 citations*
12. **[Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP ↗](https://aclanthology.org/2020.clinicalnlp-1.33/)**John Chen, Ian Berlot-Attwell, Xindi Wang et al.*14 citations*
13. **[Multiple Sclerosis Severity Classification From Clinical Text ↗](https://aclanthology.org/2020.clinicalnlp-1.2/)**Alister D'Costa, Stefan Denkovski, Michal Malyska et al.*11 citations*
14. **[PHICON: Improving Generalization of Clinical Text De-identification Models via Data Augmentation ↗](https://aclanthology.org/2020.clinicalnlp-1.23/)**Xiang Yue, Shuang Zhou*10 citations*
15. **[Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries ↗](https://aclanthology.org/2020.clinicalnlp-1.29/)**Wenjie Wang, Youngja Park, Taesung Lee et al.*10 citations*
16. **[Weakly Supervised Medication Regimen Extraction from Medical Conversations ↗](https://aclanthology.org/2020.clinicalnlp-1.20/)**Dhruvesh Patel, Sandeep Konam, Sai Prabhakar*9 citations*
17. **[Automatic recognition of abdominal lymph nodes from clinical text ↗](https://aclanthology.org/2020.clinicalnlp-1.12/)**Yifan Peng, Sungwon Lee, Daniel C. Elton et al.*6 citations*
18. **[Extracting Relations between Radiotherapy Treatment Details ↗](https://aclanthology.org/2020.clinicalnlp-1.21/)**Danielle Bitterman, Timothy Miller, David Harris et al.*6 citations*
19. **[How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset ↗](https://aclanthology.org/2020.clinicalnlp-1.13/)**Sungrim (Riea) Moon, Jungwei Fan*6 citations*
20. **[Knowledge Grounded Conversational Symptom Detection with Graph Memory Networks ↗](https://aclanthology.org/2020.clinicalnlp-1.16/)**Hongyin Luo, Shang-Wen Li, James Glass*5 citations*
21. **[Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries ↗](https://aclanthology.org/2020.clinicalnlp-1.4/)**Xiyu Ding, Mei-Hua Hall, Timothy Miller*4 citations*
22. **[Advancing Seq2seq with Joint Paraphrase Learning ↗](https://aclanthology.org/2020.clinicalnlp-1.30/)**So Yeon Min, Preethi Raghavan, Peter Szolovits*3 citations*
23. **[An Ensemble Approach for Automatic Structuring of Radiology Reports ↗](https://aclanthology.org/2020.clinicalnlp-1.28/)**Morteza Pourreza Shahri, Amir Tahmasebi, Bingyang Ye et al.*3 citations*
24. **[Classification of Syncope Cases in Norwegian Medical Records ↗](https://aclanthology.org/2020.clinicalnlp-1.9/)**Ildiko Pilan, Pål H. Brekke, Fredrik A. Dahl et al.*3 citations*
25. **[Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions ↗](https://aclanthology.org/2020.clinicalnlp-1.10/)**John Langton, Krishna Srihasam, Junlin Jiang*3 citations*

[See all 33 papers in Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2020 — accepted papers →](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2020/papers/)

## Papers with our summary in our library (1)

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

1. **[Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art](https://md.research.elamur.ai/free/en/papers/lewis-2020-pretrained-language-models-biomedical-clinical/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Patrick Lewis, Myle Ott, Jingfei Du, et al.*2020 · 241 citations*

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Biochemistry, Genetics and Molecular Biology (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Jingfei Du**1 work here · 241 citations](https://md.research.elamur.ai/free/en/authors/jingfei-du/) · [🧑‍🔬**Myle Ott**1 work here · 241 citations](https://md.research.elamur.ai/free/en/authors/myle-ott/) · [🧑‍🔬**Patrick Lewis**1 work here · 241 citations](https://md.research.elamur.ai/free/en/authors/patrick-lewis/) · [🧑‍🔬**Veselin Stoyanov**1 work here · 241 citations](https://md.research.elamur.ai/free/en/authors/veselin-stoyanov/)

## Top institutions

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

[🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**University College London** London · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-college-london/)

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

- [next → Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2023/)
- [↑ back to Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)
