RuDSI: graph-based word sense induction dataset for Russian. - Anna Aksenova; Ekaterina Gavrishina; Elisey Rykov; Andrey Kutuzov (CoRR, 2022)

Improving Biomedical Question Answering with Sentence-based Ranking at BioASQ-11b. - Anna Aksenova; Tsvetan Asamov; Petar Ivanov; Svetla Boytcheva (CLEF (Working Notes), 2023)

Maximum Likelihood Estimation with Deep Learning for Multiple Sclerosis Progression Prediction. - Tsvetan Asamov; Petar Ivanov; Anna Aksenova; Dimitar Taskov; Svetla Boytcheva (CLEF (Working Notes), 2023)

Leveraging Biomedical Ontologies for Clinical Procedures Recognition in Spanish at BioASQ MedProcNER. - Petar Ivanov; Anna Aksenova; Tsvetan Asamov; Svetla Boytcheva (CLEF (Working Notes), 2023)

Clinical Text Classification to SNOMED CT Codes Using Transformers Trained on Linked Open Medical Ontologies. - Anton Hristov; Petar Ivanov; Anna Aksenova; Tsvetan Asamov; Pavlin Gyurov; Todor Primov; Svetla Boytcheva (RANLP, 2023)

Transformer-Based Disease and Drug Named Entity Recognition in Multilingual Clinical Texts: MultiCardioNER challenge. - Anna Aksenova; Aleksis Datseris; Sylvia Vassileva; Svetla Boytcheva (CLEF (Working Notes), 2024)

Current state of data stewardship tools in life science. - Anna Aksenova; Anoop Johny; Tim Adams; Philip Gribbon; Marc Jacobs 001; Martin Hofmann-Apitius (Frontiers Big Data, 2024)