Becoming the best model in one of the most renown question answering dataset
Text-clustering tasks and training data creation for AIs made easy
A paper on the development of an adversarial question answering dataset was accepted by TACL.
Paper proposing a novel text classification method using neural network with Wikipedia entities as inputs was accepted at The CoNLL.
Studio Ousia, the AI quiz champion at NIPS 2017 (the top machine learning conference), also defeats humans.
Studio Ousia is featured on Tech in Asia.
We develop a new system utilizing deep learning
Studio Ousia Inc. announced funding to accelerate the development of QA Engine.