Overview of BioASQ 2022: The Tenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering

[1]  Georgios Paliouras,et al.  Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering , 2021, CLEF.

[2]  Alec P. Christie,et al.  Tapping into non-English-language science for the conservation of global biodiversity , 2021, bioRxiv.

[3]  Martin Krallinger,et al.  Overview of BioASQ 2020: The Eighth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering , 2020, CLEF.

[4]  Yingfei Sun,et al.  PARADE: Passage Representation Aggregation for Document Reranking , 2020, ACM Transactions on Information Systems.

[5]  Oren Etzioni,et al.  CORD-19: The Covid-19 Open Research Dataset , 2020, NLPCOVID19.

[6]  Montserrat Marimon,et al.  PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track , 2019, EMNLP.

[7]  Kevin Gimpel,et al.  ALBERT: A Lite BERT for Self-supervised Learning of Language Representations , 2019, ICLR.

[8]  Dina Demner-Fushman,et al.  Using Learning-To-Rank to Enhance NLM Medical Text Indexer Results , 2016, Proceedings of the Fourth BioASQ workshop.

[9]  Eric Nyberg,et al.  Learning to Answer Biomedical Questions: OAQA at BioASQ 4B , 2016 .

[10]  Zhiyong Lu,et al.  Beyond accuracy: creating interoperable and scalable text-mining web services , 2016, Bioinform..

[11]  Georgios Balikas,et al.  An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition , 2015, BMC Bioinformatics.

[12]  Zhiyong Lu,et al.  NCBI disease corpus: A resource for disease name recognition and concept normalization , 2014, J. Biomed. Informatics.

[13]  Georgios Paliouras,et al.  Evaluation measures for hierarchical classification: a unified view and novel approaches , 2013, Data Mining and Knowledge Discovery.

[14]  Shuying Shen,et al.  2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text , 2011, J. Am. Medical Informatics Assoc..

[15]  Tim Benson,et al.  Principles of Health Interoperability HL7 and SNOMED , 2009 .

[16]  Zhiyong Lu,et al.  Understanding PubMed® user search behavior through log analysis , 2009, Database J. Biol. Databases Curation.

[17]  J. Demšar.  Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..

[18]  G. Paliouras,et al.  Overview of DisTEMIST at BioASQ: Automatic detection and normalization of diseases from clinical texts: results, methods, evaluation and multilingual resources , 2022, CLEF.

[19]  L. A. U. López,et al.  SINAI at CLEF 2022: Leveraging biomedical transformers to detect and normalize disease mentions , 2022, CLEF.

[20]  C. Otero,et al.  A Simple Terminology-Based Approach to Clinical Entity Recognition , 2022, CLEF.

[21]  Orlando Ramos Flores,et al.  Clinical Named Entity Recognition and Linking using BERT in Combination with Spanish Medical Embeddings , 2022, CLEF.

[22]  V. Moscato,et al.  Biomedical Spanish Language Models for entity recognition and linking at BioASQ DisTEMIST , 2022, CLEF.

[23]  Diego A. Burgos,et al.  mBERT and Simple Post-Processing: A Baseline for Disease Mention Detection in Spanish , 2022, CLEF.

[24]  André M. M. Neves.  Unicage at DISTEMIST - Named Entity Recognition system using only Bash and Unicage tools , 2022, CLEF.

[25]  Luis Marco-Ruiz,et al.  DIAGÑOZA: a Natural Language Processing Tool for Automatic Annotation of Clinical Free Text with SNOMED-CT , 2022, CLEF.

[26]  James G. Mork,et al.  A Neural Text Ranking Approach for Automatic MeSH Indexing , 2021, CLEF.

[27]  Richard Tzong-Han Tsai,et al.  NCU-IISR/AS-GIS: Results of Various Pre-trained Biomedical Language Models and Linear Regression Model in BioASQ Task 9b Phase B , 2021, CLEF.

[28]  Vijay K. Shanker,et al.  BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA , 2021, BIONLP.

[29]  Sérgio Matos,et al.  BioASQ Synergy: A strong and simple baseline rooted in relevance feedback , 2021, CLEF.

[30]  Sérgio Matos,et al.  Universal Passage Weighting Mecanism (UPWM) in BioASQ 9b , 2021, CLEF.

[31]  Ibrahim Burak Özyurt,et al.  End-to-end Biomedical Question Answering via Bio-AnswerFinder and Discriminative Language Representation Models , 2021, CLEF.

[32]  Aitor Gonzalez-Agirre,et al.  Overview of Automatic Clinical Coding: Annotations, Guidelines, and Solutions for non-English Clinical Cases at CodiEsp Track of CLEF eHealth 2020 , 2020, CLEF.

[33]  Martin Krallinger,et al.  Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guidelines, Methods and Results , 2020, IberLEF@SEPLN.

[34]  Dina Demner-Fushman,et al.  Recent Enhancements to the NLM Medical Text Indexer , 2014, CLEF.

[35]  Grigorios Tsoumakas,et al.  Large-Scale Semantic Indexing of Biomedical Publications , 2013, BioASQ@CLEF.