no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Shin Kanouchi, Masato Neishi, Yuta Hayashibe, Hiroki Ouchi, Naoaki Okazaki
To tackle the challenge, this paper proposes a novel and practical task to explain evidences in recommending hotels given vague requests expressed freely in natural language.
no code implementations • CONLL 2019 • Masato Neishi, Naoki Yoshinaga
Although some approaches such as the attention mechanism have partially remedied the problem, we found that the current standard NMT model, Transformer, has difficulty in translating long sentences compared to the former standard, Recurrent Neural Network (RNN)-based model.
1 code implementation • WS 2017 • Masato Neishi, Jin Sakuma, Satoshi Tohda, Shonosuke Ishiwatari, Naoki Yoshinaga, Masashi Toyoda
In this paper, we describe the team UT-IIS{'}s system and results for the WAT 2017 translation tasks.