The 6th Clinical Natural Language Processing Workshop

At NAACL 2024. 21 June 2024, Mexico City, Mexico.

Workshop Program

21 Jun 2024 (all times CST)

09:10–10:00 Opening Session
09:00–09:10 Opening Remarks
09:10–09:50 Keynote: David Restrepo
09:50–10:00 Keynote Q&A
10:00–10:30 Oral Session I
10:00–10:15 Revisiting Clinical Outcome Prediction for MIMIC-IV
Tom Röhr, Alexei Figueroa, Jens-Michalis Papaioannou, Conor Fallon, Keno Bressem, Wolfgang Nejdl, Alexander Löser
10:15–10:30 A Multilevel Analysis of PubMed-only BERT-based Biomedical Models
Vicente Ivan Sanchez Carmona, Shanshan Jiang, Bin Dong
10:30–11:00 Break
11:00–11:30 Oral Session II: Clinical Conversations
11:00–11:15 Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes
Yu-Wen Chen, Julia Hirschberg
11:15–11:30 Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain
Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini
11:30–12:00 Oral Session III: Multimodal
11:30–11:45 SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models
Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet
11:45–12:00 Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering
Cuong Ha, Shima Asaadi, Sanjeev Kumar Karn, Oladimeji Farri, Tobias Heimann, Thomas Runkler
12:00–12:30 Oral Session IV: Low-Resource Settings
12:00–12:15 A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks
Claudio Aracena, Luis Miranda, Thomas Vakili, Fabián Villena, Tamara Quiroga, Fredy Núñez-Torres, Victor Rocco, Jocelyn Dunstan
12:15–12:30 Leveraging Prompt-Learning for Structured Information Extraction from Crohn’s Disease Radiology Reports in a Low-Resource Language
Liam Hazan, Naama Gavrielov, Roi Reichart, Talar Hagopian, Mary-Louise C. Greer, Ruth Cytter-Kuint, Gili Focht, Dan Turner, Moti Freiman
12:30–14:00 Lunch
14:00–14:22 Oral Session V: MEDIQA-CORR
14:00–14:08 Overview of the MEDIQA-CORR 2024 Shared Task on Medical Error Detection and Correction
Asma Ben Abacha, Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Fei Xia, Meliha Yetisgen
14:08–14:16 PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles
Satya Kesav Gundabathula, Sriram R Kolar
14:22–14:45 Oral Session VI: MEDIQA-M3G
14:22–14:30 Overview of the MEDIQA-M3G 2024 Shared Task on Multilingual Multimodal Medical Answer Generation
Wen-wai Yim, Asma Ben Abacha, Yujuan Fu, Zhaoyi Sun, Fei Xia, Meliha Yetisgen, Martin Krallinger
14:30–14:38 WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models
Augustin Toma, Ronald Xie, Steven Palayew, Gary D. Bader, BO WANG
14:45–15:07 Oral Session VII: EHRSQL
14:45–14:53 Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records
Gyubok Lee, Sunjun Kweon, Seongsu Bae, Edward Choi
15:01–15:09 LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs
Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee
15:07–15:30 Oral Session VIII: ChemoTimelines
15:07–15:15 Overview of the 2024 Shared Task on Chemotherapy Treatment Timeline Extraction
Jiarui Yao, Harry Hochheiser, WonJin Yoon, Eli T Goldner, Guergana K Savova
15:23–15:31 LAILab at Chemotimelines 2024: Finetuning sequence-to-sequence language models for temporal relation extraction towards cancer patient undergoing chemotherapy treatment
Shohreh Haddadan, Tuan-Dung Le, thanh duong, Thanh Q. Thieu
15:30–16:00 Break
16:00–17:30 Poster Session
16:00–17:30 Efficient Medical Question Answering with Knowledge-Augmented Question Generation
Julien Khlaut, Corentin Dancette, Elodie Ferreres, BENANI D. Alaedine, Herent, Pierre Manceron
16:00–17:30 Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations
Ankit Pal, Malaikannan Sankarasubbu
16:00–17:30 Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records
Angelo Ziletti, Leonardo DAmbrosi
16:00–17:30 ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes
Zhichao Yang, Avijit Mitra, SUNJAE KWON, hong yu
16:00–17:30 Working Alliance Transformer for Psychotherapy Dialogue Classification
Baihan Lin, Guillermo Cecchi, Djallel Bouneffouf
16:00–17:30 Building A German Clinical Named Entity Recognition System without In-domain Training Data
Siting Liang, Daniel Sonntag
16:00–17:30 DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews
Sergio Burdisso, Ernesto A. Reyes-Ramírez, Esaú VILLATORO-TELLO, Fernando Sánchez-Vega, ADRIAN PASTOR LOPEZ MONROY, Petr Motlicek
16:00–17:30 Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
Aryo Pradipta Gema, Pasquale Minervini, Luke Daines, Tom Hope, Beatrice Alex
16:00–17:30 DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents
Varun Nair, Elliot Schumacher, Geoffrey Jay Tso, Anitha Kannan
16:00–17:30 LlamaMTS: Optimizing Metastasis Detection with Llama Instruction Tuning and BERT-Based Ensemble in Italian Clinical Reports
Livia Lilli, Stefano Patarnello, Carlotta Masciocchi, Valeria Masiello, Fabio Marazzi, Tagliaferri Luca, Nikola Dino Capocchiano
16:00–17:30 Using Structured Health Information for Controlled Generation of Clinical Cases in French
Hugo Boulanger, Nicolas Hiebel, Olivier Ferret, Karën Fort, Aurélie Névéol
16:00–17:30 Large Language Models Provide Human-Level Medical Text Snippet Labeling
Ibtihel Amara, Haiyang Yu, Fan Zhang, Yuchen Liu, Benny LI, Chang Liu, Rupesh Kartha, Akshay Goel
16:00–17:30 Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models
Aylin Ece Gunal, Baihan Lin, Djallel Bouneffouf
16:00–17:30 Leveraging Wikidata for Biomedical Entity Linking in a Low-Resource Setting: A Case Study for German
Faizan E Mustafa, Corina Dima, Juan G. Diaz Ochoa, Steffen Staab
16:00–17:30 Leveraging pre-trained large language models for aphasia detection in English and Chinese speakers
Yan Cong, Jiyeon Lee, Arianna N. LaCroix
16:00–17:30 LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications
Saranya Krishnamoorthy, Ayush Singh, Shabnam Tafreshi
16:00–17:30 Adapting Abstract Meaning Representation Parsing to the Clinical Narrative – the SPRING THYME parser
Jon Cai, Kristin Wright-Bettner, Martha Palmer, Guergana K Savova, James H. Martin
16:00–17:30 ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
Sehee Lim, Yejin Kim, Chi-Hyun Choi, Jy-yong Sohn, Byung-Hoon Kim
16:00–17:30 Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation
Zhengyuan Liu, Siti Umairah Md Salleh, Pavitra Krishnaswamy, Nancy F. Chen
16:00–17:30 Evaluating Lexicon Incorporation for Depression Symptom Estimation
Kirill Milintsevich, Gaël Dias, Kairit Sirts
16:00–17:30 Semi-automatic Construction of a Word Complexity Lexicon for Japanese Medical Terminology
Soichiro Sugihara, Tomoyuki Kajiwara, Takashi Ninomiya, Shoko Wakamiya, Eiji Aramaki
16:00–17:30 TEAM MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis
Hyeonjin Kim, MIN KYU KIM, Jae Won Jang, KiYoon Yoo, Nojun Kwak
16:00–17:30 MediFact at MEDIQA-M3G 2024: Medical Question Answering in Dermatology with Multimodal Learning
Nadia Saeed
16:00–17:30 MediFact at MEDIQA-CORR 2024: Why AI Needs a Human Touch
Nadia Saeed
16:00–17:30 KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction
Zhaolong Wu, Abul Hasan, Jinge Wu, Yunsoo Kim, Jason Pui-Yin Cheung, Teng Zhang, Honghan Wu
16:00–17:30 PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs
Satya Kesav Gundabathula, Sriram R Kolar
16:00–17:30 Maven at MEDIQA-CORR 2024: Leveraging RAG and Medical LLM for Error Detection and Correction in Medical Notes
Suramya Jadhav, Abhay Shanbhag, Sumedh Joshi, Atharva Date, Sheetal S. Sonawane
16:00–17:30 Lexicans at Chemotimelines 2024: Chemotimeline Chronicles - Leveraging Large Language Models (LLMs) for Temporal Relations Extraction in Oncological Electronic Health Records
Vishakha Sharma, Andres Fernandez, Andrei Constantin Ioanovici, David Talby, Frederik Buijs
16:00–17:30 Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ?
Nesrine Bannour, Judith Jeyafreeda Andrew, Marc Vincent
16:00–17:30 KCLab at Chemotimelines 2024: End-to-end system for chemotherapy timeline extraction – Subtask2
Yukun Tan, Merve Dede, Ken Chen
16:00–17:30 Project PRIMUS at EHRSQL 2024 : Text-to-SQL Generation using Large Language Model for EHR Analysis
Sourav Bhowmik Joy, Rohan Ahmed, Argha Pratim Saha, Minhaj Ahmed Habil, Utsho Das, Partha Sarothi Bhowmik
16:00–17:30 NYULangone at Chemotimelines 2024: Utilizing Open-Weights Large Language Models for Chemotherapy Event Extraction
Jeff Zhang, Yin Aphinyanaphongs, Anthony B Cardillo
16:00–17:30 AIRI NLP Team at EHRSQL 2024 Shared Task: T5 and Logistic Regression to the Rescue
Oleg Somov, Alexey Dontsov, Elena Tutubalina
16:00–17:30 IKIM at MEDIQA-M3G 2024: Multilingual Visual Question-Answering for Dermatology through VLM Fine-tuning and LLM Translations
Marie Bauer, Amin Dada, Constantin Marc Seibold, Jens Kleesiek
16:00–17:30 NEUI at MEDIQA-M3G 2024: Medical VQA through consensus
Ricardo Omar Chávez García, Oscar William Lithgow-Serrano
16:00–17:30 VerbaNexAI at MEDIQA-CORR: Efficacy of GRU with BioWordVec and ClinicalBERT in Error Correction in Clinical Notes
Juan Pajaro, Edwin Puertas, David Villate, Laura Estrada, Laura Tinjaca
16:00–17:30 HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction
Airat Valiev, Elena Tutubalina
16:00–17:30 Wonder at Chemotimelines 2024: MedTimeline: An End-to-End NLP System for Timeline Extraction from Clinical Narratives
Liwei Wang, Qiuhao Lu, Rui Li, Sunyang Fu, Hongfang Liu
16:00–17:30 Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints
Aryo Pradipta Gema, Chaeeun Lee, Pasquale Minervini, Luke Daines, T. Ian Simpson, Beatrice Alex
16:00–17:30 UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt - A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological Diagnosis
Parth Vashisht, Abhilasha Lodha, Mukta Maddipatla, Zonghai Yao, Avijit Mitra, Zhichao Yang, SUNJAE KWON, Junda Wang, hong yu
16:00–17:30 KU-DMIS at MEDIQA-CORR 2024: Exploring the Reasoning Capabilities of Small Language Models in Medical Error Correction
Hyeon Hwang, Taewhoo Lee, Hyunjae Kim, Jaewoo Kang
16:00–17:30 CLD-MEC at MEDIQA- CORR 2024 Task: GPT-4 Multi-Stage Clinical Chain of Thought Prompting for Medical Errors Detection and Correction
Renad Alzghoul, ayaabdelhaq, Abdulrahman Tabaza, Ahmad Altamimi
16:00–17:30 IryoNLP at MEDIQA-CORR 2024: Tackling the Medical Error Detection & Correction Task on the Shoulders of Medical Agents
Jean-Philippe Corbeil
16:00–17:30 EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction
Swati Rajwal, Eugene Agichtein, Abeed Sarker
16:00–17:30 UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction
Xingmeng Zhao, Anthony Rios
16:00–17:30 WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction
Augustin Toma, Ronald Xie, Steven Palayew, Patrick Lawler, BO WANG
16:00–17:30 Saama Technologies at EHRSQL 2024: SQL Generation through Classification Answer Selector by LLM
Mohammed Jabir, Kamal Raj Kanakarajan, Malaikannan Sankarasubbu
16:00–17:30 KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR
Hajung Kim, Chanhwi Kim, Hoonick Lee, Kyochul Jang, Jiwoo Lee, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang
16:00–17:30 ProbGate at EHRSQL 2024: Enhancing SQL Query Generation Accuracy through Probabilistic Threshold Filtering and Error Handling
Sangryul Kim, Donghee Han, Sehyun Kim
16:00–17:30 LTRC-IIITH at EHRSQL 2024: Enhancing Reliability of Text-to-SQL Systems through Abstention and Confidence Thresholding
Jerrin John Thomas, Pruthwik Mishra, Dipti Sharma, Parameswari Krishnamurthy
16:00–17:30 LTRC-IIITH at MEDIQA-M3G 2024: Medical Visual Question Answering with Vision-Language Models
Jerrin John Thomas, Sushvin Marimuthu, Parameswari Krishnamurthy