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title: "Workshop on Clinical Natural Language Processing (Clinical"
description: "All 58 papers of Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023, the most cited first; those with our…"
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# Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023: all accepted papers

58 papers · the most cited first · [← Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC 2023](https://md.research.elamur.ai/free/en/venues/clinicalnlp/2023/)

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*
26. **[Transfer Learning for Low-Resource Clinical Named Entity Recognition ↗](https://aclanthology.org/2023.clinicalnlp-1.53/)**Nevasini Sasikumar, Krishna Sri Ipsit Mantri*5 citations*
27. **[Uncovering the Potential for a Weakly Supervised End-to-End Model in Recognising Speech from Patient with Post-Stroke Aphasia ↗](https://aclanthology.org/2023.clinicalnlp-1.24/)**Giulia Sanguedolce, Patrick A. Naylor, Fatemeh Geranmayeh*5 citations*
28. **[HealthMavericks@MEDIQA-Chat 2023: Benchmarking different Transformer based models for Clinical Dialogue Summarization ↗](https://aclanthology.org/2023.clinicalnlp-1.50/)**Kunal Suri, Saumajit Saha, Atul Singh*4 citations*
29. **[Hindi Chatbot for Supporting Maternal and Child Health Related Queries in Rural India ↗](https://aclanthology.org/2023.clinicalnlp-1.9/)**Ritwik Mishra, Simranjeet Singh, Jasmeet Kaur et al.*4 citations*
30. **[Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification ↗](https://aclanthology.org/2023.clinicalnlp-1.43/)**Jiamin Chen, Xuhong Li, Junting Xi et al.*4 citations*
31. **[Who needs context? Classical techniques for Alzheimer's disease detection ↗](https://aclanthology.org/2023.clinicalnlp-1.13/)**Behrad Taghibeyglou, Frank Rudzicz*4 citations*
32. **[clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues ↗](https://aclanthology.org/2023.clinicalnlp-1.19/)**Kadir Bulut Ozler, Steven Bethard*4 citations*
33. **[Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning ↗](https://aclanthology.org/2023.clinicalnlp-1.7/)**Xiangru Tang, Arman Cohan, Mark Gerstein*3 citations*
34. **[Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease ↗](https://aclanthology.org/2023.clinicalnlp-1.4/)**Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel et al.*3 citations*
35. **[Care4Lang at MEDIQA-Chat 2023: Fine-tuning Language Models for Classifying and Summarizing Clinical Dialogues ↗](https://aclanthology.org/2023.clinicalnlp-1.55/)**Amal Alqahtani, Rana Salama, Mona Diab et al.*3 citations*
36. **[Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data Scenarios ↗](https://aclanthology.org/2023.clinicalnlp-1.22/)**Hazal Türkmen, Oguz Dikenelli, Cenk Eraslan et al.*3 citations*
37. **[IUTEAM1 at MEDIQA-Chat 2023: Is simple fine tuning effective for multi layer summarization of clinical conversations? ↗](https://aclanthology.org/2023.clinicalnlp-1.54/)**Dhananjay Srivastava*3 citations*
38. **[Leveraging Natural Language Processing and Clinical Notes for Dementia Detection ↗](https://aclanthology.org/2023.clinicalnlp-1.20/)**Ming Liu, Richard Beare, Taya Collyer et al.*3 citations*
39. **[A Meta-dataset of German Medical Corpora: Harmonization of Annotations and Cross-corpus NER Evaluation ↗](https://aclanthology.org/2023.clinicalnlp-1.23/)**Ignacio Llorca, Florian Borchert, Matthieu-P. Schapranow*2 citations*
40. **[Automated Orthodontic Diagnosis from a Summary of Medical Findings ↗](https://aclanthology.org/2023.clinicalnlp-1.21/)**Takumi Ohtsuka, Tomoyuki Kajiwara, Chihiro Tanikawa et al.*2 citations*
41. **[Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System ↗](https://aclanthology.org/2023.clinicalnlp-1.37/)**Fabián Villena, Matías Rojas, Felipe Arias et al.*2 citations*
42. **[Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types ↗](https://aclanthology.org/2023.clinicalnlp-1.31/)**Siting Liang, Mareike Hartmann, Daniel Sonntag*2 citations*
43. **[Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models ↗](https://aclanthology.org/2023.clinicalnlp-1.2/)**Hitomi Yanaka, Yuta Nakamura, Yuki Chida et al.*2 citations*
44. **[Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing ↗](https://aclanthology.org/2023.clinicalnlp-1.3/)**Paul Youssef, Jörg Schlötterer, Christin Seifert*2 citations*
45. **[Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarization ↗](https://aclanthology.org/2023.clinicalnlp-1.42/)**Yongbin Jeong, Ju-Hyuck Han, Kyung Min Chae et al.*2 citations*
46. **[Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis ↗](https://aclanthology.org/2023.clinicalnlp-1.47/)**Yeldar Toleubay, Don Joven Agravante, Daiki Kimura et al.*2 citations*
47. **[Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials ↗](https://aclanthology.org/2023.clinicalnlp-1.27/)**Malikeh Ehghaghi, Marija Stanojevic, Ali Akram et al.*1 citation*
48. **[NewAgeHealthWarriors at MEDIQA-Chat 2023 Task A: Summarizing Short Medical Conversation with Transformers ↗](https://aclanthology.org/2023.clinicalnlp-1.44/)**Prakhar Mishra, Ravi Theja Desetty*1 citation*
49. **[Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts ↗](https://aclanthology.org/2023.clinicalnlp-1.38/)**Sitong Zhou, Meliha Yetisgen, Mari Ostendorf
50. **[Improving Automatic KCD Coding: Introducing the KoDAK and an Optimized Tokenization Method for Korean Clinical Documents ↗](https://aclanthology.org/2023.clinicalnlp-1.12/)**Geunyeong Jeong, Juoh Sun, Seokwon Jeong et al.
51. **[Interactive Span Recommendation for Biomedical Text ↗](https://aclanthology.org/2023.clinicalnlp-1.40/)**Louis Blankemeier, Theodore Zhao, Robert Tinn et al.
52. **[Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts ↗](https://aclanthology.org/2023.clinicalnlp-1.14/)**Natsuki Murakami, Mana Ishida, Yuta Takahashi et al.
53. **[Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations ↗](https://aclanthology.org/2023.clinicalnlp-1.18/)**Gagandeep Singh, Yue Pan, Jesus Andres-Ferrer et al.
54. **[Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text ↗](https://aclanthology.org/2023.clinicalnlp-1.29/)**Melissa Yan, Lise Gustad, Lise Høvik et al.
55. **[Navigating Data Scarcity: Pretraining for Medical Utterance Classification ↗](https://aclanthology.org/2023.clinicalnlp-1.8/)**Do June Min, Veronica Perez-Rosas, Rada Mihalcea
56. **[Storyline-Centric Detection of Aphasia and Dysarthria in Stroke Patient Transcripts ↗](https://aclanthology.org/2023.clinicalnlp-1.45/)**Peiqi Sui, Kelvin Wong, Xiaohui Yu et al.
57. **[Textual Entailment for Temporal Dependency Graph Parsing ↗](https://aclanthology.org/2023.clinicalnlp-1.25/)**Jiarui Yao, Steven Bethard, Kristin Wright-Bettner et al.
58. **[Tracking the Evolution of Covid-19 Symptoms through Clinical Conversations ↗](https://aclanthology.org/2023.clinicalnlp-1.6/)**Ticiana Coelho Da Silva, José Fernandes De Macêdo, Régis Magalhães
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