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title: "Workshop on Clinical Natural Language Processing"
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# Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023 — accepted papers

Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023 is the 2023 edition of the Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC (publisher: European Language Resources Association (ELRA)). The ACL Anthology lists 58 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.

[**58** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2023/#works) · [**55** citations of these works](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2023/#works)

## Most cited papers

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

1. **[WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models ↗](https://aclanthology.org/2023.clinicalnlp-1.36/)**John Giorgi, Augustin Toma, Ronald Xie et al.*27 citations*
2. **[Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations ↗](https://aclanthology.org/2023.clinicalnlp-1.52/)**Asma Ben Abacha, Wen-wai Yim, Griffin Adams et al.*19 citations*
3. **[Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning ↗](https://aclanthology.org/2023.clinicalnlp-1.41/)**Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han et al.*18 citations*
4. **[SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization ↗](https://aclanthology.org/2023.clinicalnlp-1.51/)**Yash Mathur, Sanketh Rangreji, Raghav Kapoor et al.*18 citations*
5. **[Can Large Language Models Safely Address Patient Questions Following Cataract Surgery? ↗](https://aclanthology.org/2023.clinicalnlp-1.17/)**Mohita Chowdhury, Ernest Lim, Aisling Higham et al.*15 citations*
6. **[Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text ↗](https://aclanthology.org/2023.clinicalnlp-1.33/)**Yuxing Lu, Xukai Zhao, Jinzhuo Wang*12 citations*
7. **[GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning ↗](https://aclanthology.org/2023.clinicalnlp-1.58/)**Xiangru Tang, Andrew Tran, Jeffrey Tan et al.*10 citations*
8. **[Multilingual Clinical NER: Translation or Cross-lingual Transfer? ↗](https://aclanthology.org/2023.clinicalnlp-1.34/)**Félix Gaschi, Xavier Fontaine, Parisa Rastin et al.*10 citations*
9. **[UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition ↗](https://aclanthology.org/2023.clinicalnlp-1.35/)**Aidan Mannion, Didier Schwab, Lorraine Goeuriot*10 citations*
10. **[Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings ↗](https://aclanthology.org/2023.clinicalnlp-1.1/)**Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan et al.*9 citations*

## All accepted papers (58)

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

1. **[WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models ↗](https://aclanthology.org/2023.clinicalnlp-1.36/)**John Giorgi, Augustin Toma, Ronald Xie et al.*27 citations*
2. **[Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations ↗](https://aclanthology.org/2023.clinicalnlp-1.52/)**Asma Ben Abacha, Wen-wai Yim, Griffin Adams et al.*19 citations*
3. **[Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning ↗](https://aclanthology.org/2023.clinicalnlp-1.41/)**Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han et al.*18 citations*
4. **[SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization ↗](https://aclanthology.org/2023.clinicalnlp-1.51/)**Yash Mathur, Sanketh Rangreji, Raghav Kapoor et al.*18 citations*
5. **[Can Large Language Models Safely Address Patient Questions Following Cataract Surgery? ↗](https://aclanthology.org/2023.clinicalnlp-1.17/)**Mohita Chowdhury, Ernest Lim, Aisling Higham et al.*15 citations*
6. **[Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text ↗](https://aclanthology.org/2023.clinicalnlp-1.33/)**Yuxing Lu, Xukai Zhao, Jinzhuo Wang*12 citations*
7. **[GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning ↗](https://aclanthology.org/2023.clinicalnlp-1.58/)**Xiangru Tang, Andrew Tran, Jeffrey Tan et al.*10 citations*
8. **[Multilingual Clinical NER: Translation or Cross-lingual Transfer? ↗](https://aclanthology.org/2023.clinicalnlp-1.34/)**Félix Gaschi, Xavier Fontaine, Parisa Rastin et al.*10 citations*
9. **[UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition ↗](https://aclanthology.org/2023.clinicalnlp-1.35/)**Aidan Mannion, Didier Schwab, Lorraine Goeuriot*10 citations*
10. **[Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings ↗](https://aclanthology.org/2023.clinicalnlp-1.1/)**Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan et al.*9 citations*
11. **[Context-aware Medication Event Extraction from Unstructured Text ↗](https://aclanthology.org/2023.clinicalnlp-1.11/)**Noushin Salek Faramarzi, Meet Patel, Sai Harika Bandarupally et al.*8 citations*
12. **[Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models ↗](https://aclanthology.org/2023.clinicalnlp-1.26/)**Varun Nair, Elliot Schumacher, Anitha Kannan*8 citations*
13. **[Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles ↗](https://aclanthology.org/2023.clinicalnlp-1.16/)**Weipeng Zhou, Majid Afshar, Dmitriy Dligach et al.*8 citations*
14. **[Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning ↗](https://aclanthology.org/2023.clinicalnlp-1.10/)**Brihat Sharma, Yanjun Gao, Timothy Miller et al.*8 citations*
15. **[Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications ↗](https://aclanthology.org/2023.clinicalnlp-1.32/)**Usman Naseem, Surendrabikram Thapa, Qi Zhang et al.*8 citations*
16. **[UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations? ↗](https://aclanthology.org/2023.clinicalnlp-1.49/)**Junda Wang, Zonghai Yao, Avijit Mitra et al.*8 citations*
17. **[A Survey of Evaluation Methods of Generated Medical Textual Reports ↗](https://aclanthology.org/2023.clinicalnlp-1.48/)**Yongxin Zhou, Fabien Ringeval, François Portet*7 citations*
18. **[DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization ↗](https://aclanthology.org/2023.clinicalnlp-1.57/)**Boya Zhang, Rahul Mishra, Douglas Teodoro*7 citations*
19. **[Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning ↗](https://aclanthology.org/2023.clinicalnlp-1.5/)**Lifeng Han, Gleb Erofeev, Irina Sorokina et al.*6 citations*
20. **[Prompt Discriminative Language Models for Domain Adaptation ↗](https://aclanthology.org/2023.clinicalnlp-1.30/)**Keming Lu, Peter Potash, Xihui Lin et al.*6 citations*
21. **[Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning ↗](https://aclanthology.org/2023.clinicalnlp-1.56/)**Kirill Milintsevich, Navneet Agarwal*5 citations*
22. **[Intersectionality and Testimonial Injustice in Medical Records ↗](https://aclanthology.org/2023.clinicalnlp-1.39/)**Kenya Andrews, Bhuvni Shah, Lu Cheng*5 citations*
23. **[Pre-trained language models in Spanish for health insurance coverage ↗](https://aclanthology.org/2023.clinicalnlp-1.46/)**Claudio Aracena, Nicolás Rodríguez, Victor Rocco et al.*5 citations*
24. **[Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language models ↗](https://aclanthology.org/2023.clinicalnlp-1.28/)**Ashwyn Sharma, David Feldman, Aneesh Jain*5 citations*
25. **[Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ↗](https://aclanthology.org/2023.clinicalnlp-1.15/)**Nadine Abdelhalim, Ingy Abdelhalim, Riza Batista-Navarro*5 citations*

[See all 58 papers in Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023 — accepted papers →](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2023/papers/)

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

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

1. **[DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents](https://md.research.elamur.ai/free/en/papers/nair-2023-dera-enhancing-large-language-model/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Varun Nair, Elliot Schumacher, Geoffrey Tso, et al.*2023 · 55 citations*

## Top topics

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

[Dialogue systems (1)](https://md.research.elamur.ai/free/en/topics/dialogue-systems/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Medicine (1)](https://md.research.elamur.ai/free/en/shelves/medicine/)

works and citations from OpenAlex and our library.

- [← previous Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2020](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2020/)
- [next → Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2026](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2026/)
- [↑ back to Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)