📰 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

1. WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models ↗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 ↗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 ↗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 ↗Yash Mathur, Sanketh Rangreji, Raghav Kapoor et al.18 citations
5. Can Large Language Models Safely Address Patient Questions Following Cataract Surgery? ↗Mohita Chowdhury, Ernest Lim, Aisling Higham et al.15 citations
6. Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text ↗Yuxing Lu, Xukai Zhao, Jinzhuo Wang12 citations
7. GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning ↗Xiangru Tang, Andrew Tran, Jeffrey Tan et al.10 citations
8. Multilingual Clinical NER: Translation or Cross-lingual Transfer? ↗Félix Gaschi, Xavier Fontaine, Parisa Rastin et al.10 citations
9. UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition ↗Aidan Mannion, Didier Schwab, Lorraine Goeuriot10 citations
10. Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings ↗Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan et al.9 citations
11. Context-aware Medication Event Extraction from Unstructured Text ↗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 ↗Varun Nair, Elliot Schumacher, Anitha Kannan8 citations
13. Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles ↗Weipeng Zhou, Majid Afshar, Dmitriy Dligach et al.8 citations
14. Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning ↗Brihat Sharma, Yanjun Gao, Timothy Miller et al.8 citations
15. Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications ↗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? ↗Junda Wang, Zonghai Yao, Avijit Mitra et al.8 citations
17. A Survey of Evaluation Methods of Generated Medical Textual Reports ↗Yongxin Zhou, Fabien Ringeval, François Portet7 citations
18. DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization ↗Boya Zhang, Rahul Mishra, Douglas Teodoro7 citations
19. Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning ↗Lifeng Han, Gleb Erofeev, Irina Sorokina et al.6 citations
20. Prompt Discriminative Language Models for Domain Adaptation ↗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 ↗Kirill Milintsevich, Navneet Agarwal5 citations
22. Intersectionality and Testimonial Injustice in Medical Records ↗Kenya Andrews, Bhuvni Shah, Lu Cheng5 citations
23. Pre-trained language models in Spanish for health insurance coverage ↗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 ↗Ashwyn Sharma, David Feldman, Aneesh Jain5 citations
25. Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection ↗Nadine Abdelhalim, Ingy Abdelhalim, Riza Batista-Navarro5 citations
26. Transfer Learning for Low-Resource Clinical Named Entity Recognition ↗Nevasini Sasikumar, Krishna Sri Ipsit Mantri5 citations
27. Uncovering the Potential for a Weakly Supervised End-to-End Model in Recognising Speech from Patient with Post-Stroke Aphasia ↗Giulia Sanguedolce, Patrick A. Naylor, Fatemeh Geranmayeh5 citations
28. HealthMavericks@MEDIQA-Chat 2023: Benchmarking different Transformer based models for Clinical Dialogue Summarization ↗Kunal Suri, Saumajit Saha, Atul Singh4 citations
29. Hindi Chatbot for Supporting Maternal and Child Health Related Queries in Rural India ↗Ritwik Mishra, Simranjeet Singh, Jasmeet Kaur et al.4 citations
30. Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification ↗Jiamin Chen, Xuhong Li, Junting Xi et al.4 citations
31. Who needs context? Classical techniques for Alzheimer's disease detection ↗Behrad Taghibeyglou, Frank Rudzicz4 citations
32. clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues ↗Kadir Bulut Ozler, Steven Bethard4 citations
33. Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning ↗Xiangru Tang, Arman Cohan, Mark Gerstein3 citations
34. Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease ↗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 ↗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 ↗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? ↗Dhananjay Srivastava3 citations
38. Leveraging Natural Language Processing and Clinical Notes for Dementia Detection ↗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 ↗Ignacio Llorca, Florian Borchert, Matthieu-P. Schapranow2 citations
40. Automated Orthodontic Diagnosis from a Summary of Medical Findings ↗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 ↗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 ↗Siting Liang, Mareike Hartmann, Daniel Sonntag2 citations
43. Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models ↗Hitomi Yanaka, Yuta Nakamura, Yuki Chida et al.2 citations
44. Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing ↗Paul Youssef, Jörg Schlötterer, Christin Seifert2 citations
45. Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarization ↗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 ↗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 ↗Malikeh Ehghaghi, Marija Stanojevic, Ali Akram et al.1 citation
48. NewAgeHealthWarriors at MEDIQA-Chat 2023 Task A: Summarizing Short Medical Conversation with Transformers ↗Prakhar Mishra, Ravi Theja Desetty1 citation
49. Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts ↗Sitong Zhou, Meliha Yetisgen, Mari Ostendorf
50. Improving Automatic KCD Coding: Introducing the KoDAK and an Optimized Tokenization Method for Korean Clinical Documents ↗Geunyeong Jeong, Juoh Sun, Seokwon Jeong et al.
51. Interactive Span Recommendation for Biomedical Text ↗Louis Blankemeier, Theodore Zhao, Robert Tinn et al.
52. Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts ↗Natsuki Murakami, Mana Ishida, Yuta Takahashi et al.
53. Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations ↗Gagandeep Singh, Yue Pan, Jesus Andres-Ferrer et al.
54. Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text ↗Melissa Yan, Lise Gustad, Lise Høvik et al.
55. Navigating Data Scarcity: Pretraining for Medical Utterance Classification ↗Do June Min, Veronica Perez-Rosas, Rada Mihalcea
56. Storyline-Centric Detection of Aphasia and Dysarthria in Stroke Patient Transcripts ↗Peiqi Sui, Kelvin Wong, Xiaohui Yu et al.
57. Textual Entailment for Temporal Dependency Graph Parsing ↗Jiarui Yao, Steven Bethard, Kristin Wright-Bettner et al.
58. Tracking the Evolution of Covid-19 Symptoms through Clinical Conversations ↗Ticiana Coelho Da Silva, José Fernandes De Macêdo, Régis Magalhães

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