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21st BioNLP@ACL 2023: Toronto, Canada
- Dina Demner-Fushman, Sophia Ananiadou, Kevin Cohen:
The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, BioNLP@ACL 2023, Toronto, Canada, 13 July 2023. Association for Computational Linguistics 2023 - Frontmatter.
- Yueling Li, Sebastian Martschat, Simone Paolo Ponzetto
:
Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction. 1-25 - Jiarun Cao, Niels Peek, Andrew G. Renehan, Sophia Ananiadou:
Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection. 26-36 - Hongyi Yuan, Keming Lu, Zheng Yuan:
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking. 37-49 - Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian, Koji Fujimoto, Mizuho Nishio, Ryo Sakamoto, Fabio Rinaldi
Boosting Radiology Report Generation by Infusing Comparison Prior. 50-61 - 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. 62-78 - Ryan Whetten, Casey Kennington:
Evaluating and Improving Automatic Speech Recognition using Severity. 79-91 - Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Zero-shot Temporal Relation Extraction with ChatGPT. 92-102 - Shreya Chandrasekhar, Chieh-Yang Huang, Ting-Hao K. Huang
Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers. 103-113 - Tianlin Zhang
Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media. 114-126 - 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. 127-132 - 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. 133-144 - Laura Zanella, Yannick Toussaint:
How Much do Knowledge Graphs Impact Transformer Models for Extracting Biomedical Events? 145-155 - Perceval Wajsbürt, Xavier Tannier:
An end-to-end neural model based on cliques and scopes for frame extraction in long breast radiology reports. 156-170 - Ken Yano, Makoto Miwa, Sophia Ananiadou:
DISTANT: Distantly Supervised Entity Span Detection and Classification. 171-177 - Simon Meoni
Large Language Models as Instructors: A Study on Multilingual Clinical Entity Extraction. 178-190 - Nesrine Bannour
Event-independent temporal positioning: application to French clinical text. 191-205 - Vinayak Arannil
ADEQA: A Question Answer based approach for joint ADE-Suspect Extraction using Sequence-To-Sequence Transformers. 206-214 - Prateek Chhikara, Ujjwal Pasupulety
Privacy Aware Question-Answering System for Online Mental Health Risk Assessment. 215-222 - Aman Berhe, Guillaume Draznieks, Vincent Martenot, Valentin Masdeu, Lucas Davy, Jean-Daniel Zucker:
AliBERT: A Pre-trained Language Model for French Biomedical Text. 223-236 - Pritam Deka, Anna Jurek-Loughrey, Deepak P:
Multiple Evidence Combination for Fact-Checking of Health-Related Information. 237-247 - Oumaima El Khettari, Solen Quiniou, Samuel Chaffron:
Building a Corpus for Biomedical Relation Extraction of Species Mentions. 248-254 - Gilchan Park, Byung-Jun Yoon, Xihaier Luo, Vanessa López-Marrero
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges. 255-264 - François Remy, Kris Demuynck, Thomas Demeester:
Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge. 265-272 - Harsh Verma, Sabine Bergler, Narjesossadat Tahaei:
Comparing and combining some popular NER approaches on Biomedical tasks. 273-279 - Sudipta Singha Roy, Robert E. Mercer:
Extracting Drug-Drug and Protein-Protein Interactions from Text using a Continuous Update of Tree-Transformers. 280-291 - Niklas Kammer, Florian Borchert, Silvia Winkler, Gerard de Melo, Matthieu-P. Schapranow:
Resolving Elliptical Compounds in German Medical Text. 292-305 - Chandreen Liyanage, Muskan Garg, Vijay Mago, Sunghwan Sohn:
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health. 306-312 - Timothy A. Miller, Steven Bethard
End-to-end clinical temporal information extraction with multi-head attention. 313-319 - 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. 320-325 - Israt Jahan, Md. Tahmid Rahman Laskar, Chun Peng, Jimmy Xiangji Huang:
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers. 326-336 - Vera Pavlova, Mohammed Makhlouf:
BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition. 337-349 - Bernal Jimenez Gutierrez, Huan Sun, Yu Su:
Biomedical Language Models are Robust to Sub-optimal Tokenization. 350-362 - Takuma Matsubara, Makoto Miwa, Yutaka Sasaki:
Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs. 363-368 - Masaki Asada, Makoto Miwa:
BioNART: A Biomedical Non-AutoRegressive Transformer for Natural Language Generation. 369-376 - Koshi Yamada, Makoto Miwa, Yutaka Sasaki:
Biomedical Relation Extraction with Entity Type Markers and Relation-specific Question Answering. 377-384 - Ryuki Ida, Makoto Miwa, Yutaka Sasaki:
Biomedical Document Classification with Literature Graph Representations of Bibliographies and Entities. 385-395 - David Kartchner, Selvi Ramalingam, Irfan Al-Hussaini, Olivia Kronick, Cassie S. Mitchell
Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models. 396-405 - Skyler Zou, Xiang Dai
Can Social Media Inform Dietary Approaches for Health Management? A Dataset and Benchmark for Low-Carb Diet. 406-412 - Simon Suster, Timothy Baldwin, Karin Verspoor
Promoting Fairness in Classification of Quality of Medical Evidence. 413-426 - Ghadeer Mobasher, Wolfgang Mller, Olga Krebs, Michael Gertz:
WeLT: Improving Biomedical Fine-tuned Pre-trained Language Models with Cost-sensitive Learning. 427-438 - Paul Landes, Aaron Chaise, Kunal Patel, Sean S. Huang, Barbara Di Eugenio:
Hospital Discharge Summarization Data Provenance. 439-448 - 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. 449-460 - Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar:
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. 461-467 - Tomas Goldsack
BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles. 468-477 - Jean-Benoit Delbrouck, Maya Varma, Pierre J. Chambon, Curtis P. Langlotz:
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization. 478-482 - Domenic Rosati:
GRASUM at BioLaySumm Task 1: Background Knowledge Grounding for Readable, Relevant, and Factual Biomedical Lay Summaries. 483-490 - 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. 491-496 - Neil Torrero, Gerard Sant, Carlos Escolano:
TALP-UPC at ProbSum 2023: Fine-tuning and Data Augmentation Strategies for NER. 497-502 - Hao Li
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. 503-509 - Gaurav Kolhatkar, Aditya Paranjape, Omkar Gokhale, Dipali Kadam:
Team Converge at ProbSum 2023: Abstractive Text Summarization of Patient Progress Notes. 510-515 - Potsawee Manakul, Yassir Fathullah, Adian Liusie, Vyas Raina, Vatsal Raina, Mark J. F. Gales:
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models. 516-523 - Vicent Ahuir Esteve, Encarna Segarra, Lluís F. Hurtado:
ELiRF-VRAIN at BioNLP Task 1B: Radiology Report Summarization. 524-529 - Mariia Chizhikova, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín-Valdivia:
SINAI at RadSum23: Radiology Report Summarization Based on Domain-Specific Sequence-To-Sequence Transformer Model. 530-534 - Jinge Wu, Daqian Shi, Abul Hasan, Honghan Wu:
KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization. 535-540 - Sri Macharla, Ashok Madamanchi, Nikhilesh Kancharla:
nav-nlp at RadSum23: Abstractive Summarization of Radiology Reports using BART Finetuning. 541-544 - Aaron Nicolson, Jason Dowling, Bevan Koopman:
e-Health CSIRO at RadSum23: Adapting a Chest X-Ray Report Generator to Multimodal Radiology Report Summarisation. 545-549 - Sanjeev Kumar Karn, Rikhiya Ghosh, Kusuma P, Oladimeji Farri:
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation. 550-556 - Tongnian Wang
UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization. 557-566 - Gangwoo Kim, Hajung Kim, Lei Ji, Seongsu Bae, Chanhwi Kim, Mujeen Sung, Hyunjae Kim, Kun Yan, Eric Chang, Jaewoo Kang:
KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization. 567-573 - 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. 574-578 - A. S. Poornash, Atharva Deshmukh, Archit Sharma, Sriparna Saha:
APTSumm at BioLaySumm Task 1: Biomedical Breakdown, Improving Readability by Relevancy Based Selection. 579-585 - Chao-Yi Chen, Jen-Hao Yang, Lung-Hao Lee:
NCUEE-NLP at BioLaySumm Task 2: Readability-Controlled Summarization of Biomedical Articles Using the PRIMERA Models. 586-591 - Irfan Al-Hussaini, Austin Wu, Cassie S. Mitchell
Pathology Dynamics at BioLaySumm: the trade-off between Readability, Relevance, and Factuality in Lay Summarization. 592-601 - Yu-Hsuan Wu, Ying-Jia Lin, Hung-Yu Kao:
IKM_Lab at BioLaySumm Task 1: Longformer-based Prompt Tuning for Biomedical Lay Summary Generation. 602-610 - Oisn Turbitt, Robert Bevan, Mouhamad Aboshokor:
MDC at BioLaySumm Task 1: Evaluating GPT Models for Biomedical Lay Summarization. 611-619 - Quancheng Liu, Xiheng Ren, V. G. Vinod Vydiswaran:
LHS712EE at BioLaySumm 2023: Using BART and LED to summarize biomedical research articles. 620-624 - Venkat praneeth Reddy, Pinnapu Reddy Harshavardhan Reddy, Karanam Sai Sumedh, Raksha Sharma:
IITR at BioLaySumm Task 1: Lay Summarization of BioMedical articles using Transformers. 625-628 - Mong Yuan Sim, Xiang Dai
CSIRO Data61 Team at BioLaySumm Task 1: Lay Summarisation of Biomedical Research Articles Using Generative Models. 629-635 - Cagla Colak, Lknur Karadeniz:
ISIKSumm at BioLaySumm Task 1: BART-based Summarization System Enhanced with Bio-Entity Labels. 636-640
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