Yamada will talk about developing AI that understands documents
We will be exhibiting as a Todai-to-Texas program team
Sōseki had 62% accuracy according to human evaluation
Our two papers were accepted at the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Becoming the best model in one of the most renown question answering dataset
Text-clustering tasks and training data creation for AIs made easy
Paper proposing a novel text classification method using neural network with Wikipedia entities as inputs was accepted at The CoNLL.
A paper on the development of an adversarial question answering dataset was accepted by TACL.
Studio Ousia, the AI quiz champion at NIPS 2017 (the top machine learning conference), also defeats humans.