Pyysalo, Sampo

The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

Szklarczyk, D., Kirsch, R., Koutrouli, M., Nastou, K., Mehryary, F., Hachilif, R., Gable, A. L., Fang, T., Doncheva, N. T., Pyysalo, S., et al. (2023) · Nucleic Acids Research

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 9,726

The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets

Szklarczyk, D., Gable, A. L., Nastou, K. C., Lyon, D., Kirsch, R., Pyysalo, S., Doncheva, N. T., Legeay, M., Fang, T., Bork, P., et al. (2021) · Nucleic Acids Research

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 8,056

A neural network multi-task learning approach to biomedical named entity recognition

Crichton, G., Pyysalo, S., Chiu, B., & Korhonen, A. (2017) · BMC Bioinformatics

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 229

Biomedical Named Entity Recognition with Multilingual BERT

Hakala, K., & Pyysalo, S. (2019) · Proceedings of The 5th Workshop on BioNLP Open Shared Tasks

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 96

LION LBD: a literature-based discovery system for cancer biology

Pyysalo, S., Baker, S., Ali, I., Haselwimmer, S., Shah, T., Young, A., Guo, Y., Högberg, J., Stenius, U., Narita, M., et al. (2019) · Bioinformatics

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 65

Scaling Data-Constrained Language Models

Muennighoff, N., Rush, A. M., Barak, B., Scao, T. L., Piktus, A., Tazi, N., Pyysalo, S., Wolf, T., & Raffel, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 49

Scaling Data-Constrained Language Models

Muennighoff, N., Rush, A., Barak, B., Scao, T. L., Tazi, N., Piktus, A., Pyysalo, S., Wolf, T., & Raffel, C. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingNatural Language Processing Techniques

Cited by 47