ACL 2023

2,767 papers

A Survey of Evaluation Methods of Generated Medical Textual Reports

Yongxin Zhou, Fabien Ringeval, François Portet

Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis

Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf

Pre-trained language models in Spanish for health insurance coverage

Claudio Aracena, Nicolás Rodríguez, Victor Rocco, Jocelyn Dunstan

Storyline-Centric Detection of Aphasia and Dysarthria in Stroke Patient Transcripts

Peiqi Sui, Kelvin Wong, Xiaohui Yu, John Volpi, Stephen Wong

NewAgeHealthWarriors at MEDIQA-Chat 2023 Task A: Summarizing Short Medical Conversation with Transformers

Prakhar Mishra, Ravi Theja Desetty

Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification

Jiamin Chen, Xuhong Li, Junting Xi, Lei Yu, Haoyi Xiong

Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarization

Yongbin Jeong, Ju-Hyuck Han, Kyung Min Chae, Yousang Cho, Hyunbin Seo

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning

Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J Dobbins

Interactive Span Recommendation for Biomedical Text

Louis Blankemeier, Theodore Zhao, Robert Tinn, Sid Kiblawi, Yu Gu

Intersectionality and Testimonial Injustice in Medical Records

Kenya Andrews, Bhuvni Shah, Lu Cheng

Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts

Sitong Zhou, Meliha Yetisgen, Mari Ostendorf

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, Jorge Pacheco, Paulina Vera

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models

John Giorgi, Augustin Toma, Ronald Xie, Sondra Chen, Kevin An

UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity Recognition

Aidan Mannion, Didier Schwab, Lorraine Goeuriot

Multilingual Clinical NER: Translation or Cross-lingual Transfer?

Félix Gaschi, Xavier Fontaine, Parisa Rastin, Yannick Toussaint

Medical knowledge-enhanced prompt learning for diagnosis classification from clinical text

Yuxing Lu, Xukai Zhao, Jinzhuo Wang

Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications

Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood

Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types

Siting Liang, Mareike Hartmann, Daniel Sonntag

Prompt Discriminative Language Models for Domain Adaptation

Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian

Method for Designing Semantic Annotation of Sepsis Signs in Clinical Text

Melissa Yan, Lise Gustad, Lise Høvik, Øystein Nytrø

Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language models

Ashwyn Sharma, David Feldman, Aneesh Jain

Factors Affecting the Performance of Automated Speaker Verification in Alzheimer’s Disease Clinical Trials

Malikeh Ehghaghi, Marija Stanojevic, Ali Akram, Jekaterina Novikova

Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models

Varun Nair, Elliot Schumacher, Anitha Kannan

Textual Entailment for Temporal Dependency Graph Parsing

Jiarui Yao, Steven Bethard, Kristin Wright-Bettner, Eli Goldner, David Harris

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 Geranmayeh

A Meta-dataset of German Medical Corpora: Harmonization of Annotations and Cross-corpus NER Evaluation

Ignacio Llorca, Florian Borchert, Matthieu-P. Schapranow

Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data Scenarios

Hazal Türkmen, Oguz Dikenelli, Cenk Eraslan, Mehmet Calli, Suha Ozbek

Automated Orthodontic Diagnosis from a Summary of Medical Findings

Takumi Ohtsuka, Tomoyuki Kajiwara, Chihiro Tanikawa, Yuujin Shimizu, Hajime Nagahara

Leveraging Natural Language Processing and Clinical Notes for Dementia Detection

Ming Liu, RIchard Beare, Taya Collyer, Nadine Andrew, Velandai Srikanth

clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialogues

Kadir Bulut Ozler, Steven Bethard

Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor Conversations

Gagandeep Singh, Yue Pan, Jesus Andres-Ferrer, Miguel Del-Agua, Frank Diehl

Can Large Language Models Safely Address Patient Questions Following Cataract Surgery?

Mohita Chowdhury, Ernest Lim, Aisling Higham, Rory McKinnon, Nikoletta Ventoura

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles

Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller

Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection

Nadine Abdelhalim, Ingy Abdelhalim, Riza Batista-Navarro

Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical Texts

Natsuki Murakami, Mana Ishida, Yuta Takahashi, Hitomi Yanaka, Daisuke Bekki

Who needs context? Classical techniques for Alzheimer’s disease detection

Behrad Taghibeyglou, Frank Rudzicz

Improving Automatic KCD Coding: Introducing the KoDAK and an Optimized Tokenization Method for Korean Clinical Documents

Geunyeong Jeong, Juoh Sun, Seokwon Jeong, Hyunjin Shin, Harksoo Kim

Context-aware Medication Event Extraction from Unstructured Text

Noushin Salek Faramarzi, Meet Patel, Sai Harika Bandarupally, Ritwik Banerjee

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning

Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew Churpek, Majid Afshar

Hindi Chatbot for Supporting Maternal and Child Health Related Queries in Rural India

Ritwik Mishra, Simranjeet Singh, Jasmeet Kaur, Pushpendra Singh, Rajiv Shah

Navigating Data Scarcity: Pretraining for Medical Utterance Classification

Do June Min, Veronica Perez-Rosas, Rada Mihalcea

Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning

Xiangru Tang, Arman Cohan, Mark Gerstein

Tracking the Evolution of Covid-19 Symptoms through Clinical Conversations

Ticiana Coelho Da Silva, José Fernandes De Macêdo, Régis Magalhães

Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning

Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic

Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer’s Disease

Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Surendrabikram Thapa, Usman Naseem

Privacy-Preserving Knowledge Transfer through Partial Parameter Sharing

Paul Youssef, Jörg Schlötterer, Christin Seifert

Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models

Hitomi Yanaka, Yuta Nakamura, Yuki Chida, Tomoya Kurosawa

Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings

Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg

A Mutual Information-based Approach to Quantifying Logography in Japanese and Sumerian

Noah Hermalin

Learning the Character Inventories of Undeciphered Scripts Using Unsupervised Deep Clustering

Logan Born, M. Willis Monroe, Kathryn Kelley, Anoop Sarkar

Decipherment of Lost Ancient Scripts as Combinatorial Optimisation Using Coupled Simulated Annealing

Fabio Tamburini

Disambiguating Numeral Sequences to Decipher Ancient Accounting Corpora

Logan Born, M. Willis Monroe, Kathryn Kelley, Anoop Sarkar

Lenient Evaluation of Japanese Speech Recognition: Modeling Naturally Occurring Spelling Inconsistency

Shigeki Karita, Richard Sproat, Haruko Ishikawa

Pronunciation Ambiguities in Japanese Kanji

Wen Zhang

Back-Transliteration of English Loanwords in Japanese

Yuying Ren

Distinguishing Romanized Hindi from Romanized Urdu

Elizabeth Nielsen, Christo Kirov, Brian Roark

Exploring the Impact of Transliteration on NLP Performance: Treating Maltese as an Arabic Dialect

Kurt Micallef, Fadhl Eryani, Nizar Habash, Houda Bouamor, Claudia Borg

Preserving the Authenticity of Handwritten Learner Language: Annotation Guidelines for Creating Transcripts Retaining Orthographic Features

Christian Gold, Ronja Laarmann-Quante, Torsten Zesch

The Hidden Folk: Linguistic Properties Encoded in Multilingual Contextual Character Representations

Manex Agirrezabal, Sidsel Boldsen, Nora Hollenstein

Myths about Writing Systems in Speech & Language Technology

Kyle Gorman, Richard Sproat

ISIKSumm at BioLaySumm Task 1: BART-based Summarization System Enhanced with Bio-Entity Labels

Cagla Colak, Lknur Karadeniz

CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models

Mong Yuan Sim, Xiang Dai, Maciej Rybinski, Sarvnaz Karimi

IITR at BioLaySumm Task 1:Lay Summarization of BioMedical articles using Transformers

Venkat praneeth Reddy, Pinnapu Reddy Harshavardhan Reddy, Karanam Sai Sumedh, Raksha Sharma

LHS712EE at BioLaySumm 2023: Using BART and LED to summarize biomedical research articles

Quancheng Liu, Xiheng Ren, V.G.Vinod Vydiswaran

MDC at BioLaySumm Task 1: Evaluating GPT Models for Biomedical Lay Summarization

Oisín Turbitt, Robert Bevan, Mouhamad Aboshokor

IKM_Lab at BioLaySumm Task 1: Longformer-based Prompt Tuning for Biomedical Lay Summary Generation

Yu-Hsuan Wu, Ying-Jia Lin, Hung-Yu Kao

Pathology Dynamics at BioLaySumm: the trade-off between Readability, Relevance, and Factuality in Lay Summarization

Irfan Al-Hussaini, Austin Wu, Cassie Mitchell

NCUEE-NLP at BioLaySumm Task 2: Readability-Controlled Summarization of Biomedical Articles Using the PRIMERA Models

Chao-Yi Chen, Jen-Hao Yang, Lung-Hao Lee

APTSumm at BioLaySumm Task 1: Biomedical Breakdown, Improving Readability by Relevancy Based Selection

A.s. Poornash, Atharva Deshmukh, Archit Sharma, Sriparna Saha

VBD-NLP at BioLaySumm Task 1: Explicit and Implicit Key Information Selection for Lay Summarization on Biomedical Long Documents

Phuc Phan, Tri Tran, Hai-Long Trieu

KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization

Gangwoo Kim, Hajung Kim, Lei Ji, Seongsu Bae, Chanhwi Kim

UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization

Tongnian Wang, Xingmeng Zhao, Anthony Rios

shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation

Sanjeev Kumar Karn, Rikhiya Ghosh, Kusuma P, Oladimeji Farri

e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation

Aaron Nicolson, Jason Dowling, Bevan Koopman

nav-nlp at RadSum23: Abstractive Summarization of Radiology Reports using BART Finetuning

Sri Macharla, Ashok Madamanchi, Nikhilesh Kancharla

KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization

Jinge Wu, Daqian Shi, Abul Hasan, Honghan Wu

SINAI at RadSum23: Radiology Report Summarization Based on Domain-Specific Sequence-To-Sequence Transformer Model

Mariia Chizhikova, Manuel Diaz-Galiano, L. Alfonso Ureña-López, M. Teresa Martín-Valdivia

ELiRF-VRAIN at BioNLP Task 1B: Radiology Report Summarization

Vicent Ahuir Esteve, Encarna Segarra, Lluis Hurtado

CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models

Potsawee Manakul, Yassir Fathullah, Adian Liusie, Vyas Raina, Vatsal Raina

Team Converge at ProbSum 2023: Abstractive Text Summarization of Patient Progress Notes

Gaurav Kolhatkar, Aditya Paranjape, Omkar Gokhale, Dipali Kadam

Team:PULSAR at ProbSum 2023:PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients’ Problems and Data Augmentation with Black-box Large Language Models

Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen

TALP-UPC at ProbSum 2023: Fine-tuning and Data Augmentation Strategies for NER

Neil Torrero, Gerard Sant, Carlos Escolano

DeakinNLP at ProbSum 2023: Clinical Progress Note Summarization with Rules and Language ModelsClinical Progress Note Summarization with Rules and Languague Models

Ming Liu, Dan Zhang, Weicong Tan, He Zhang

GRASUM at BioLaySumm Task 1: Background Knowledge Grounding for Readable, Relevant, and Factual Biomedical Lay Summaries

Domenic Rosati

Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization

Jean-Benoit Delbrouck, Maya Varma, Pierre Chambon, Curtis Langlotz

Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles

Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients’ Active Diagnoses and Problems from Electronic Health Record Progress Notes

Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar

RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models

Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen

Hospital Discharge Summarization Data Provenance

Paul Landes, Aaron Chaise, Kunal Patel, Sean Huang, Barbara Di Eugenio

WeLT: Improving Biomedical Fine-tuned Pre-trained Language Models with Cost-sensitive Learning

Ghadeer Mobasher, Wolfgang Müller, Olga Krebs, Michael Gertz

Promoting Fairness in Classification of Quality of Medical Evidence

Simon Suster, Timothy Baldwin, Karin Verspoor

Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet

Skyler Zou, Xiang Dai, Grant Brinkworth, Pennie Taylor, Sarvnaz Karimi

Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models

David Kartchner, Selvi Ramalingam, Irfan Al-Hussaini, Olivia Kronick, Cassie Mitchell

Biomedical Document Classification with Literature Graph Representations of Bibliographies and Entities

Ryuki Ida, Makoto Miwa, Yutaka Sasaki

Biomedical Relation Extraction with Entity Type Markers and Relation-specific Question Answering

Koshi Yamada, Makoto Miwa, Yutaka Sasaki

BioNART: A Biomedical Non-AutoRegressive Transformer for Natural Language Generation

Masaki Asada, Makoto Miwa

Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs

Takuma Matsubara, Makoto Miwa, Yutaka Sasaki

Biomedical Language Models are Robust to Sub-optimal Tokenization

Bernal Jiménez Gutiérrez, Huan Sun, Yu Su

BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition

Vera Pavlova, Mohammed Makhlouf

Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers

Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng, Jimmy Huang