Program

BioASQ 2024 Workshop Schedule

 

Monday September 9, 2024
Session 1. 14:00-15:30

  • Welcome

  • Overview of BioASQ Tasks 12b and Synergy12 in CLEF2024.
    • Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara and Georgios Paliouras
  • Enhancing Biomedical Document Ranking with Domain Knowledge Incorporation in a Multi-Stage Retrieval Approach.
    • Maël Lesavourey and Gilles Hubert
  • HU-WBI at BioASQ12B Phase A: Exploring Rank Fusion of Dense Retrievers for Biomedical Question Answering.
    • Oğuz Şerbetçi, Xing David Wang and Ulf Leser
  • Generative Large Language Models Augmented Hybrid Retrieval System for Biomedical Question Answering.
    • Bor-Woei Huang
  • MiBi at BioASQ 2024: Retrieval-Augmented Generation for Answering Biomedical Questions.
    • Jan Heinrich Merker, Alexander Bondarenko, Matthias Hagen and Adrian Viehweger
  • Enhancing Biomedical Question Answering with Parameter-Efficient Fine-Tuning and Hierarchical Retrieval Augmented Generation.
    • Yichen Gao, Licheng Zong and Yu Li
  • BIT.UA at BioASQ 12: From Retrieval to Answer Generation.
    • Tiago Almeida, Richard Jonker, João Reis, João Almeida and Sérgio Matos
15:30-16:30 Poster Session | Coffee break
Session 2. 16:30-18:00
Tuesday September 10, 2024
Session 3. 11:10-12:40
  • NCU-IISR: Enhancing Biomedical Question Answering with GPT-4 and Retrieval Augmented Generation in BioASQ 12b Phase B.
    • Bing-Chen Chih, Jen-Chieh Han and Richard Tzong-Han Tsai
  • LLM fine-tuning with biomedical open-source data.
    • Christopher Anaya, Maria Fernandes and Francisco Couto
  • Farming Open LLMs for Biomedical Question Answering.
    • Dimitra Panou, Alexandros Dimopoulos and Martin Reczko
  • Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions.
    • Wenxin Zhou and Thuy Hang Ngo
  • Can Open-Source LLMs Compete with Commercial Models? Exploring the Few-Shot Performance of Current GPT Models in Biomedical Tasks.
    • Samy Ateia and Udo Kruschwitz
  • Overview of BioNNE Task on Biomedical Nested Named Entity Recognition at BioASQ 2024.
    • Vera Davydova, Natalia Loukachevitch and Elena Tutubalina
  • Nested Named Entity Recognition using Multilayer BERT-based Model.
    • Hasin Rehana, Benu Bansal, Nur Bengisu Çam, Jie Zheng, Yongqun He, Arzucan Özgür and Junguk Hur
  • Biomedical Nested NER with Large Language Model and UMLS Heuristics.
    • Wenxin Zhou
12:45-14:00 Lunch
14:00-15:40 CLEF2024 Conference 
15:40-16:40 Poster Session | Coffee break
Session 4. 16:40-18:10
  • Overview of MultiCardioNER task at BioASQ 2024 on Medical Specialty and Language Adaptation of Clinical NER Systems for Spanish, English and Italian.
    • Salvador Lima López, Eulalia Farre-Maduell, Jan Rodríguez-Miret, Miguel Rodríguez-Ortega, Livia Lilli, Jacopo Lenkowicz, Giovanna Ceroni, Jonathan Kossof, Anoop Shah, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras and Martin Krallinger
  • Team NOVA LINCS @ BIOASQ12 MultiCardioNER Track: Entity Recognition with Additional Entity Types.
    • Rodrigo Gonçalves and André Lamúrias
  • Cross-Linguistic Disease and Drug Detection in Cardiology Clinical Texts: Methods and Outcomes.
    • Patrick Styll, Leonardo Campillos-Llanos, Wojciech Kusa and Allan Hanbury
  • BIT.UA at MultiCardioNER: Adapting a Multi-head CRF for Cardiology.
    • Richard Jonker, Tiago Almeida and Sérgio Matos
  • Identifying Cardiological Disorders in Spanish via Data Augmentation and Fine-Tuned Language Models.
    • Antonio Romano, Giuseppe Riccio, Marco Postiglione and Vincenzo Moscato
  • Multilingual Clinical NER for Diseases and Medications Recognition in Cardiology Texts using BERT Embeddings.
    • Manuela Daniela Danu, George Marica, Constantin Suciu, Lucian Mihai Itu and Oladimeji Farri
  • Transformer-Based Disease and Drug Named Entity Recognition in Multilingual Clinical Texts: MultiCardioNER challenge.
    • Anna Aksenova, Aleksis Datseris, Sylvia Vassileva and Svetla Boytcheva
  • Comparative Analyses of Multilingual Drug Entity Recognition Systems for Clinical Case Reports In Cardiology.
    • Chaeeun Lee, T. Ian Simpson, Joram M. Posma and Antoine D. Lain