Jacques J. Labrie

According to our database, Jacques J. Labrie authored at least 4 papers between 2014 and 2018.

Collaborative distances:

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

2018

Hybrid natural language processing for high-performance patent and literature mining in IBM Watson for Drug Discovery.

Richard L. Martin, D. Martinez Iraola, Eric Louie, D. Pierce, B. A. Tagtow, Jacques J. Labrie, Philip G. Abrahamson

IBM J. Res. Dev., 2018

2015

Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature.

Meenakshi Nagarajan, Angela D. Wilkins, Benjamin J. Bachman, Ilya B. Novikov, Shenghua Bao, Peter J. Haas, María E. Terrón-Díaz, Sumit Bhatia, Anbu K. Adikesavan, Jacques J. Labrie, Sam Regenbogen, Christie M. Buchovecky, Curtis R. Pickering, Linda Kato, Andreas Martin Lisewski, Ana Lelescu, Houyin Zhang, Stephen Boyer, Griff Weber, Ying Chen, Lawrence A. Donehower, W. Scott Spangler, Olivier Lichtarge

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

The Strategic IP Insight Platform (SIIP): A Foundation for Discovery.

Ana Lelescu, Bryan Langston, Eric Louie, Isaac K. Cheng, Jacques J. Labrie, John Colino, Laura Anderson, Linda Kato, Ying Chen

Proceedings of the 2014 Annual SRII Global Conference, 2014

Automated hypothesis generation based on mining scientific literature.

W. Scott Spangler, Angela D. Wilkins, Benjamin J. Bachman, Meena Nagarajan, Tajhal Dayaram, Peter J. Haas, Sam Regenbogen, Curtis R. Pickering, Austin Comer, Jeffrey N. Myers, Ioana Stanoi, Linda Kato, Ana Lelescu, Jacques J. Labrie, Neha Parikh, Andreas Martin Lisewski, Lawrence A. Donehower, Ying Chen, Olivier Lichtarge

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014