John A. Bachman

According to our database, John A. Bachman authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphs.

Helena Balabin, Charles Tapley Hoyt, Colin Birkenbihl, Benjamin M. Gyori, John A. Bachman, Alpha Tom Kodamullil, Paul G. Plöger, Martin Hofmann-Apitius, Daniel Domingo-Fernández

Bioinform., 2022

ProtSTonKGs: A Sophisticated Transformer Trained on Protein Sequences, Text, and Knowledge Graphs.

Helena Balabin, Charles Tapley Hoyt, Benjamin M. Gyori, John A. Bachman, Alpha Tom Kodamullil, Martin Hofmann-Apitius, Daniel Domingo-Fernández

Proceedings of the 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2022

2020

Adeft: Acromine-based Disambiguation of Entities from Text with applications to the biomedical literature.

Albert Steppi, Benjamin M. Gyori, John A. Bachman

J. Open Source Softw., 2020

2019

INDRA-IPM: interactive pathway modeling using natural language with automated assembly.

Petar V. Todorov, Benjamin M. Gyori, John A. Bachman, Peter K. Sorger

Bioinform., 2019

Re-curation and rational enrichment of knowledge graphs in Biological Expression Language.

Charles Tapley Hoyt, Daniel Domingo-Fernández, Rana Aldisi, Lingling Xu, Kristian Kolpeja, Sandra Spalek, Esther Wollert, John A. Bachman, Benjamin M. Gyori, Patrick Greene, Martin Hofmann-Apitius

Database J. Biol. Databases Curation, 2019

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.

Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text mining.

John A. Bachman, Benjamin M. Gyori, Peter K. Sorger

BMC Bioinform., 2018