We present a neural architecture of sentence representation. Words are represented with neural cell assemblies. Relations between words are represented with ‘structure’ assembl...
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
A recent approach to the problem of ontology matching has been to convert the problem of ontology matching to information retrieval. We explore the utility of this approach in matc...
Brian Byrne, Achille Fokoue, Aditya Kalyanpur, Kav...
This paper describes a system for automatically mapping between concepts in different ontologies. The motivation for the research stems from the Diogene project, in which the proj...
It is now almost15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. En...
Pierre Zweigenbaum, Dina Demner-Fushman, Hong Yu, ...