We present in this paper novel techniques that determine the semantic relationships among genes and gene products. We implemented these techniques in a middleware system called GOtoGene, which resides between user application and Gene Ontology database. Given a set S of genes, GOtoGene would return another set S  of genes, where each gene in S  is semantically related to each gene in S . The ...

We present in this paper novel techniques that determine the semantic relationships among genes and gene products. We implemented these techniques in a middleware system called GOtoGene, which resides between user application and Gene Ontology database. Given a set S of genes, GOtoGene would return another set S  of genes, where each gene in S  is semantically related to each gene in S . The ...

In this work, we devote ourselves to the challenging task of Unsupervised Multi-view Representation Learning (UMRL), which requires learning a unified feature representation from multiple views in an unsupervised manner. Existing UMRL methods mainly focus on process within space while ignoring valuable semantic information hidden different views. To address issue, propose novel approach called ...

In this paper we propose a system to solve a language game, called Guillotine, which requires a player with a strong cultural and linguistic background knowledge. The player observes a set of five words, generally unrelated to each other, and in one minute she has to provide a sixth word, semantically connected to the others. Several knowledge sources, such as a dictionary and a set of proverbs...