Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach

Nada Lavrač, Matej Martinc, Senja Pollak, Maruša Pompe Novak, Bojan Cestnik
2020 New generation computing  
The field of bisociative literature-based discovery aims at mining scientific literature to reveal yet uncovered connections between different fields of specialization. This paper outlines several outlier-based literature mining approaches to bridging term detection and the lessons learned from selected biomedical literature-based discovery applications. The paper addresses also new prospects in bisociative literature-based discovery, proposing an advanced embeddings-based technology for cross-domain literature mining.
doi:10.1007/s00354-020-00108-w fatcat:ypxsjir5tjamdn7fenzxd7oqky