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ORCID5th ClinicalNLP@ACL 2023: Toronto, Canada
- Tristan Naumann, Asma Ben Abacha, Steven Bethard, Kirk Roberts, Anna Rumshisky:
Proceedings of the 5th Clinical Natural Language Processing Workshop, ClinicalNLP@ACL 2023, Toronto, Canada, July 14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-88-3 - Joel Shor
, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin:
Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings. 1-7 - Hitomi Yanaka, Yuta Nakamura, Yuki Chida, Tomoya Kurosawa:
Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models. 8-18 - Paul Youssef, Jörg Schlötterer, Christin Seifert:
Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing. 19-23 - Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Surendrabikram Thapa, Usman Naseem, Mehwish Nasim:
Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease. 24-30 - Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic:
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning. 31-40 - Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Regis Pires Magalhães:
Tracking the Evolution of Covid-19 Symptoms through Clinical Conversations. 41-47 - Xiangru Tang, Arman Cohan, Mark Gerstein:
Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning. 48-58 - Do June Min, Verónica Pérez-Rosas, Rada Mihalcea:
Navigating Data Scarcity: Pretraining for Medical Utterance Classification. 59-68 - Ritwik Mishra, Simranjeet Singh, Jasmeet Kaur, Pushpendra Singh, Rajiv Ratn Shah:
Hindi Chatbot for Supporting Maternal and Child Health Related Queries in Rural India. 69-77 - Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach:
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. 78-85 - Noushin Salek Faramarzi, Meet Patel, Sai Harika Bandarupally, Ritwik Banerjee:
Context-aware Medication Event Extraction from Unstructured Text. 86-95 - Geunyeong Jeong, Juoh Sun, Seokwon Jeong, Hyunjin Shin, Harksoo Kim:
Improving Automatic KCD Coding: Introducing the KoDAK and an Optimized Tokenization Method for Korean Clinical Documents. 96-101 - Behrad Taghibeyglou, Frank Rudzicz:
Who needs context? Classical techniques for Alzheimer's disease detection. 102-107 - Natsuki Murakami, Mana Ishida, Yuta Takahashi, Hitomi Yanaka, Daisuke Bekki:
Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts. 108-117 - Nadine Abdelhalim, Ingy Abdelhalim, Riza Batista-Navarro:
Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection. 118-124 - Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy A. Miller:
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. 125-130 - Mohita Chowdhury, Ernest Lim, Aisling Higham, Rory McKinnon, Nikoletta Ventoura, Yajie He, Nick de Pennington:
Can Large Language Models Safely Address Patient Questions Following Cataract Surgery? 131-137 - Gagandeep Singh, Yue Pan, Jesús Andrés-Ferrer, Miguel A. del Agua, Frank Diehl, Joel Pinto, Paul Vozila:
Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations. 138-143 - Kadir Bulut Özler, Steven Bethard:
clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues. 144-149 - Ming Liu, Richard Beare, Taya Collyer, Nadine Andrew, Velandai Srikanth:
Leveraging Natural Language Processing and Clinical Notes for Dementia Detection. 150-155 - Takumi Ohtsuka, Tomoyuki Kajiwara, Chihiro Tanikawa, Yuujin Shimizu, Hajime Nagahara, Takashi Ninomiya:
Automated Orthodontic Diagnosis from a Summary of Medical Findings. 156-160 - Hazal Türkmen, Oguz Dikenelli, Cenk Eraslan, Mehmet Cem Çalli, Suha Sureyya Ozbek:
Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data Scenarios. 161-170 - Ignacio Llorca, Florian Borchert, Matthieu-P. Schapranow:
A Meta-dataset of German Medical Corpora: Harmonization of Annotations and Cross-corpus NER Evaluation. 171-181 - Giulia Sanguedolce, Patrick A. Naylor, Fatemeh Geranmayeh:
Uncovering the Potential for a Weakly Supervised End-to-End Model in Recognising Speech from Patient with Post-Stroke Aphasia. 182-190 - Jiarui Yao, Steven Bethard, Kristin Wright-Bettner, Eli Goldner, David Harris, Guergana Savova:
Textual Entailment for Temporal Dependency Graph Parsing. 191-199 - Varun Nair, Elliot Schumacher, Anitha Kannan:
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. 200-217 - Malikeh Ehghaghi, Marija Stanojevic, Ali Akram, Jekaterina Novikova:
Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials. 218-227 - Ashwyn Sharma, David I. Feldman, Aneesh Jain:
Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language models. 228-235 - Melissa Y. Yan, Lise Tuset Gustad, Lise Husby Høvik, Øystein Nytrø:
Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text. 236-246 - Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan, Tristan Naumann, Tianxi Cai, Junwei Lu:
Prompt Discriminative Language Models for Domain Adaptation. 247-258 - Siting Liang, Mareike Hartmann, Daniel Sonntag:
Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types. 259-271 - Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood, Mehwish Nasim:
Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. 272-277 - Yuxing Lu, Xukai Zhao, Jinzhuo Wang:
Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text. 278-288 - Félix Gaschi, Xavier Fontaine, Parisa Rastin, Yannick Toussaint:
Multilingual Clinical NER: Translation or Cross-lingual Transfer? 289-311 - Aidan Mannion, Didier Schwab, Lorraine Goeuriot:
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition. 312-322 - John M. Giorgi, Augustin Toma, Ronald Xie, Sondra Chen, Kevin R. An, Grace X. Zheng, Bo Wang:
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models. 323-334 - Fabián Villena, Matías Rojas, Felipe Arias, Jorge Pacheco, Paulina Vera, Jocelyn Dunstan:
Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System. 335-343 - Sitong Zhou, Meliha Yetisgen, Mari Ostendorf:
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts. 344-357 - Kenya S. Andrews, Bhuvni Shah, Lu Cheng:
Intersectionality and Testimonial Injustice in Medical Records. 358-372 - Louis Blankemeier, Theodore Zhao, Robert Tinn, Sid Kiblawi, Yu Gu, Akshay Chaudhari, Hoifung Poon, Sheng Zhang, Mu Wei, Joseph Preston:
Interactive Span Recommendation for Biomedical Text. 373-384 - Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J. Dobbins, Özlem Uzuner, Meliha Yetisgen:
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. 385-393 - Yongbin Jeong, Ju-Hyuck Han, Kyung Min Chae, Yousang Cho, Hyunbin Seo, Kyungtae Lim, Key-Sun Choi, Younggyun Hahm:
Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarization. 394-402 - Jiamin Chen, Xuhong Li, Junting Xi, Lei Yu, Haoyi Xiong:
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification. 403-413 - Prakhar Mishra, Ravi Theja Desetty:
NewAgeHealthWarriors at MEDIQA-Chat 2023 Task A: Summarizing Short Medical Conversation with Transformers. 414-421 - Peiqi Sui, Kelvin K. Wong, Xiaohui Yu, John Volpi, Stephen T. C. Wong:
Storyline-Centric Detection of Aphasia and Dysarthria in Stroke Patient Transcripts. 422-432 - Claudio Aracena, Nicolás Rodríguez, Victor Rocco, Jocelyn Dunstan:
Pre-trained language models in Spanish for health insurance coverage. 433-438 - Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori:
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. 439-446 - Yongxin Zhou, Fabien Ringeval, François Portet:
A Survey of Evaluation Methods of Generated Medical Textual Reports. 447-459 - Junda Wang, Zonghai Yao, Avijit Mitra, Samuel Osebe, Zhichao Yang, Hong Yu:
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations? 460-471 - Kunal Suri, Saumajit Saha, Atul Singh:
HealthMavericks@MEDIQA-Chat 2023: Benchmarking different Transformer based models for Clinical Dialogue Summarization. 472-489 - Yash Mathur, Sanketh Rangreji, Raghav Kapoor, Medha Palavalli, Amanda Bertsch, Matthew Gormley:
SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization. 490-502 - Asma Ben Abacha, Wen-wai Yim, Griffin Adams, Neal Snider, Meliha Yetisgen:
Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations. 503-513 - Nevasini Sasikumar, Krishna Sri Ipsit Mantri:
Transfer Learning for Low-Resource Clinical Named Entity Recognition. 514-518 - Dhananjay Srivastava:
IUTEAM1 at MEDIQA-Chat 2023: Is simple fine tuning effective for multi layer summarization of clinical conversations? 519-523 - Amal AlQahtani, Rana Aref Salama, Mona Talat Diab, Abdou Youssef:
Care4Lang at MEDIQA-Chat 2023: Fine-tuning Language Models for Classifying and Summarizing Clinical Dialogues. 524-528 - Kirill Milintsevich, Navneet Agarwal:
Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning. 529-535 - Boya Zhang, Rahul Mishra, Douglas Teodoro:
DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization. 536-545 - Xiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein:
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning. 546-554
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