Itsumi Saito

A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension

2019 · arXiv (Cornell University)

Conversational machine comprehension (CMC) requires understanding the context of multi-turn dialogue. Using BERT, a pre-training language model, has been successful for single-turn machine comprehension, while modeling multiple turns of question answering with BERT has not …

Multi-style Generative Reading Comprehension

2019

Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019.