- Ming Liu, Dan Zhang, Weicong Tan, He Zhang:
DeakinNLP at ProbSum 2023: Clinical Progress Note Summarization with Rules and Language ModelsClinical Progress Note Summarization with Rules and Languague Models. BioNLP@ACL 2023: 491-496 - Chandreen Liyanage, Muskan Garg, Vijay Mago, Sunghwan Sohn:
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health. BioNLP@ACL 2023: 306-312 - Sri Macharla, Ashok Madamanchi, Nikhilesh Kancharla:
nav-nlp at RadSum23: Abstractive Summarization of Radiology Reports using BART Finetuning. BioNLP@ACL 2023: 541-544 - Potsawee Manakul, Yassir Fathullah, Adian Liusie, Vyas Raina, Vatsal Raina, Mark J. F. Gales:
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models. BioNLP@ACL 2023: 516-523 - Takuma Matsubara, Makoto Miwa, Yutaka Sasaki:
Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs. BioNLP@ACL 2023: 363-368 - Simon Meoni
, Éric de la Clergerie, Théo Ryffel:
Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction. BioNLP@ACL 2023: 178-190 - Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Guergana Savova:
End-to-end clinical temporal information extraction with multi-head attention. BioNLP@ACL 2023: 313-319 - Ghadeer Mobasher, Wolfgang Mller, Olga Krebs, Michael Gertz:
WeLT: Improving Biomedical Fine-tuned Pre-trained Language Models with Cost-sensitive Learning. BioNLP@ACL 2023: 427-438 - Mariana L. Neves, Ines Schadock, Beryl Eusemann, Gilbert Schönfelder, Bettina Bert, Daniel Butzke:
Is the ranking of PubMed similar articles good enough? An evaluation of text similarity methods for three datasets. BioNLP@ACL 2023: 133-144 - Aaron Nicolson, Jason Dowling, Bevan Koopman:
e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation. BioNLP@ACL 2023: 545-549 - Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero, Patrick R. Johnstone, Shinjae Yoo, Francis J. Alexander:
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges. BioNLP@ACL 2023: 255-264 - Vera Pavlova, Mohammed Makhlouf:
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition. BioNLP@ACL 2023: 337-349 - Phuc Phan, Tri Tran, Hai-Long Trieu:
VBD-NLP at BioLaySumm Task 1: Explicit and Implicit Key Information Selection for Lay Summarization on Biomedical Long Documents. BioNLP@ACL 2023: 574-578 - A. S. Poornash, Atharva Deshmukh, Archit Sharma, Sriparna Saha:
APTSumm at BioLaySumm Task 1: Biomedical Breakdown, Improving Readability by Relevancy Based Selection. BioNLP@ACL 2023: 579-585 - Venkat praneeth Reddy, Pinnapu Reddy Harshavardhan Reddy, Karanam Sai Sumedh, Raksha Sharma:
IITR at BioLaySumm Task 1: Lay Summarization of BioMedical articles using Transformers. BioNLP@ACL 2023: 625-628 - François Remy, Kris Demuynck, Thomas Demeester:
Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge. BioNLP@ACL 2023: 265-272 - Omid Rohanian, Hannah Jauncey, Mohammadmahdi Nouriborji, Vinod Kumar, Bronner P. Gonçalves, Christiana Kartsonaki, Isaric Clinical Characterisation Group, Laura Merson, David A. Clifton:
Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints. BioNLP@ACL 2023: 62-78 - Domenic Rosati:
GRASUM at BioLaySumm Task 1: Background Knowledge Grounding for Readable, Relevant, and Factual Biomedical Lay Summaries. BioNLP@ACL 2023: 483-490 - Sudipta Singha Roy, Robert E. Mercer:
Extracting Drug-Drug and Protein-Protein Interactions from Text using a Continuous Update of Tree-Transformers. BioNLP@ACL 2023: 280-291 - Mourad Sarrouti, Carson Tao, Yoann Mamy Randriamihaja:
Exploring Drug Switching in Patients: A Deep Learning-based Approach to Extract Drug Changes and Reasons from Social Media. BioNLP@ACL 2023: 127-132 - Mong Yuan Sim, Xiang Dai, Maciej Rybinski, Sarvnaz Karimi:
CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. BioNLP@ACL 2023: 629-635 - Shilpa Suresh, Nazgol Tavabi, Shahriar Golchin, Leah Gilreath, Rafael Garcia-Andujar, Alexander Kim, Joseph Murray, Blake Bacevich, Ata M. Kiapour:
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER. BioNLP@ACL 2023: 320-325 - Simon Suster, Timothy Baldwin, Karin Verspoor:
Promoting Fairness in Classification of Quality of Medical Evidence. BioNLP@ACL 2023: 413-426 - Neil Torrero, Gerard Sant, Carlos Escolano:
TALP-UPC at ProbSum 2023: Fine-tuning and Data Augmentation Strategies for NER. BioNLP@ACL 2023: 497-502 - Oisn Turbitt, Robert Bevan, Mouhamad Aboshokor:
MDC at BioLaySumm Task 1: Evaluating GPT Models for Biomedical Lay Summarization. BioNLP@ACL 2023: 611-619 - Dave Van Veen, Cara Van Uden, Maayane Attias, Anuj Pareek, Christian Bluethgen, Malgorzata Polacin, Wah Chiu, Jean-Benoit Delbrouck, Juan Manuel Zambrano Chaves, Curtis P. Langlotz, Akshay Chaudhari, John M. Pauly:
RadAdapt: Radiology Report Summarization via Lightweight Domain Adaptation of Large Language Models. BioNLP@ACL 2023: 449-460 - Harsh Verma, Sabine Bergler, Narjesossadat Tahaei:
Comparing and combining some popular NER approaches on Biomedical tasks. BioNLP@ACL 2023: 273-279 - Perceval Wajsbürt, Xavier Tannier:
An end-to-end neural model based on cliques and scopes for frame extraction in long breast radiology reports. BioNLP@ACL 2023: 156-170 - Tongnian Wang, Xingmeng Zhao, Anthony Rios:
UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization. BioNLP@ACL 2023: 557-566 - Ryan Whetten, Casey Kennington:
Evaluating and Improving Automatic Speech Recognition using Severity. BioNLP@ACL 2023: 79-91
