ClinicalNLP@ACL

Publications

2023

Takumi Ohtsuka, Tomoyuki Kajiwara, Chihiro Tanikawa, Yuujin Shimizu, Hajime Nagahara, Takashi Ninomiya
Automated Orthodontic Diagnosis from a Summary of Medical Findings. ClinicalNLP@ACL (2023)
Noushin Salek Faramarzi, Meet Patel, Sai Harika Bandarupally, Ritwik Banerjee
Context-aware Medication Event Extraction from Unstructured Text. ClinicalNLP@ACL (2023)
Kadir Bulut Özler, Steven Bethard
clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
Behrad Taghibeyglou, Frank Rudzicz
Who needs context? Classical techniques for Alzheimer's disease detection. ClinicalNLP@ACL (2023)
Nadine Abdelhalim, Ingy Abdelhalim, Riza Batista-Navarro
Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
Claudio Aracena, Nicolás Rodríguez, Victor Rocco, Jocelyn Dunstan
Pre-trained language models in Spanish for health insurance coverage. ClinicalNLP@ACL (2023)
Nevasini Sasikumar, Krishna Sri Ipsit Mantri
Transfer Learning for Low-Resource Clinical Named Entity Recognition. ClinicalNLP@ACL (2023)
Dhananjay Srivastava
IUTEAM1 at MEDIQA-Chat 2023: Is simple fine tuning effective for multi layer summarization of clinical conversations? ClinicalNLP@ACL (2023)
Yash Mathur, Sanketh Rangreji, Raghav Kapoor, Medha Palavalli, Amanda Bertsch, Matthew R. Gormley
SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical Summarization. ClinicalNLP@ACL (2023)
Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic
Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning. ClinicalNLP@ACL (2023)
Kirill Milintsevich, Navneet Agarwal
Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning. ClinicalNLP@ACL (2023)
Kenya Andrews, Bhuvni Shah, Lu Cheng
Intersectionality and Testimonial Injustice in Medical Records. ClinicalNLP@ACL (2023)
Sitong Zhou, Meliha Yetisgen, Mari Ostendorf
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
Ashwyn Sharma, David Feldman, Aneesh Jain
Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language models. ClinicalNLP@ACL (2023)
Ignacio Llorca, Florian Borchert, Matthieu-P. Schapranow
A Meta-dataset of German Medical Corpora: Harmonization of Annotations and Cross-corpus NER Evaluation. ClinicalNLP@ACL (2023)
Kunal Suri, Saumajit Saha, Atul Singh
HealthMavericks@MEDIQA-Chat 2023: Benchmarking different Transformer based models for Clinical Dialogue Summarization. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
Aidan Mannion, Didier Schwab, Lorraine Goeuriot
UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition. ClinicalNLP@ACL (2023)
Xiangru Tang, Arman Cohan, Mark Gerstein
Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning. ClinicalNLP@ACL (2023)
Yuxing Lu, Xukai Zhao, Jinzhuo Wang
Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text. ClinicalNLP@ACL (2023)
Félix Gaschi, Xavier Fontaine, Parisa Rastin, Yannick Toussaint
Multilingual Clinical NER: Translation or Cross-lingual Transfer? ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
Hitomi Yanaka, Yuta Nakamura, Yuki Chida, Tomoya Kurosawa
Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
Varun Nair, Elliot Schumacher, Anitha Kannan
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. ClinicalNLP@ACL (2023)
Proceedings of the 5th Clinical Natural Language Processing Workshop, ClinicalNLP@ACL 2023, Toronto, Canada, July 14, 2023. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
Prakhar Mishra, Ravi Theja Desetty
NewAgeHealthWarriors at MEDIQA-Chat 2023 Task A: Summarizing Short Medical Conversation with Transformers. ClinicalNLP@ACL (2023)
Paul Youssef, Jörg Schlötterer, Christin Seifert
Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing. ClinicalNLP@ACL (2023)
Jiarui Yao, Steven Bethard, Kristin Wright-Bettner, Eli Goldner, David Harris, Guergana Savova
Textual Entailment for Temporal Dependency Graph Parsing. ClinicalNLP@ACL (2023)
Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL (2023)
Malikeh Ehghaghi, Marija Stanojevic, Ali Akram, Jekaterina Novikova
Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials. ClinicalNLP@ACL (2023)
Natsuki Murakami, Mana Ishida, Yuta Takahashi, Hitomi Yanaka, Daisuke Bekki
Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts. ClinicalNLP@ACL (2023)
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? ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
Do June Min, Verónica Pérez-Rosas, Rada Mihalcea
Navigating Data Scarcity: Pretraining for Medical Utterance Classification. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
Boya Zhang, Rahul Mishra, Douglas Teodoro
DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization. ClinicalNLP@ACL (2023)
Melissa Y. Yan, Lise Tuset Gustad, Lise Husby Høvik, Øystein Nytrø
Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text. ClinicalNLP@ACL (2023)
Siting Liang, Mareike Hartmann, Daniel Sonntag
Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types. ClinicalNLP@ACL (2023)
Ming Liu, Richard Beare, Taya Collyer, Nadine Andrew, Velandai Srikanth
Leveraging Natural Language Processing and Clinical Notes for Dementia Detection. ClinicalNLP@ACL (2023)
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? ClinicalNLP@ACL (2023)
Yongxin Zhou, Fabien Ringeval, François Portet
A Survey of Evaluation Methods of Generated Medical Textual Reports. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)
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. ClinicalNLP@ACL (2023)