BioASQ 2022 Workshop Schedule


Monday September 5, 2022
15:20-15:25 Welcome
15:25-15:35 Overview of BioASQ Tasks 10a, 10b and Synergy10 in CLEF2022
  • Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou, Anastasia Krithara and Georgios Paliouras
15:35-15:50 Overview of DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts: results, methods, evaluation and multilingual resources
  • Antonio Miranda-Escalada, Luis Gascó, Salvador Lima-López, Eulàlia Farré-Maduell, Darryl Estrada, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras and Martin Krallinger
Biomedical Spanish Language Models for entity recognition and linking at BioASQ DisTEMIST
  • Vincenzo Moscato, Marco Postiglione and Giancarlo Sperlì
SINAI at CLEF 2022: Leveraging biomedical transformers to detect and normalize disease mentions
  • Mariia Chizhikova, Jaime Collado-Montañez, Pilar López-Úbeda, Manuel C. Díaz-Galiano, L. Alfonso Ureña-López and M. Teresa Martín-Valdivia
HPI-DHC @ BioASQ DISTEMIST: Spanish Biomedical Entity Linking with Cross-lingual Candidate Retrieval and Rule-based Reranking
  • Florian Borchert and Matthieu-P. Schapranow
Clinical Named Entity Recognition and Linking using BERT in Combination with Spanish Medical Embeddings
  • Javier Reyes-Aguillón, Rodrigo del Moral, Orlando Ramos-Flores, Helena Gómez-Adorno and Gemma Bel-Enguix
16:50-17:10 Short break
17:10-17:25 DIAGÑOZA: a Natural Language Processing Tool for Automatic Annotation of Clinical Free Text with SNOMED-CT
  • Matic Bernik, Robert Tovornik, Borut Fabjan and Luis Marco-Ruiz
A Simple Terminology-Based Approach to Clinical Entity Recognition
  • Jose Castano, Maria Laura Gambarte, Carlos Otero and Daniel Luna
  • Alejandro Rodríguez González, Universidad Politécnica de Madrid, Spain
Tuesday September 6, 2022
15:30-15:45 Query-focused Extractive Summarisation for Biomedical and COVID-19 Complex Question Answering
  • Diego Molla
mBERT and Simple Post-Processing: A Baseline for Disease Mention Detection in Spanish
  • Antonio Tamayo, Diego A Burgos and Alexander Gelbukh
ELECTROLBERT: Combining Replaced Token Detection and Sentence Order Prediction
  • Martin Reczko
Exploring Biomedical Question Answering with BioM-Transformers At BioASQ10B challenge: Findings and Techniques
  • Sultan Alrowili and K.Vijay Shanker
LaRSA at BioASQ 10b: classical and novel approaches for biomedical document retrieval and question answering
  • Zakaria Kaddari and Bouchentouf Toumi
Zero-shot Hybrid Retrieval and Reranking Models for Biomedical Literature
  • Jing Lu, Ji Ma and Keith Hall
17:00-17:20 Short break
17:20-17:35 BioTABQA: Instruction Learning for Biomedical Table Question Answering
  • Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar and Chitta Baral
17:35-17:50 NCU-IISR/AS-GIS: Using BERTScore and Snippet Score to Improve the Performance of Pretrained Language Model in BioASQ 10b Phase B
  • Hao-Hsuan Ting, Yu Zhang, Jen-Chieh Han and Richard Tzong-Han Tsai
Unicage at DISTEMIST - Named Entity Recognition system using only Bash and Unicage tools
  • André Neves
18:05-18:20 Deep Learning solutions based on fixed contextualising embeddings from PubMedBERT on BioASQ 10b and traditional IR in Synergy
  • Tiago Almeida, André Pinho, Rodrigo Pereira and Sérgio Matos
18:20-18:40 Task A Farewell talk: "The NLM Medical Text Indexer (MTI) - Past, Present, and Future
  • James Mork, Alastair Rae
18:20-18:40 Award Announcements & Discussion