You May Like This Hotel Because ...: Identifying Evidence for Explainable Recommendations

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.

Explainable Recommendation Sentence

Improving Japanese-to-English Neural Machine Translation by Voice Prediction

no code implementations • IJCNLP 2017 • Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato, Mamoru Komachi

This study reports an attempt to predict the voice of reference using the information from the input sentences or previous input/output sentences.

Machine Translation Sentence +1

Controlling the Voice of a Sentence in Japanese-to-English Neural Machine Translation

no code implementations • WS 2016 • Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato, Mamoru Komachi

The results showed that, we could control the voice of the generated sentence with 85. 0{\%} accuracy on average.

Machine Translation Sentence +2

Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase-based Translation

no code implementations • WS 2016 • Shin Kanouchi, Katsuhito Sudoh, Mamoru Komachi

This paper presents an improved lexicalized reordering model for phrase-based statistical machine translation using a deep neural network.

Machine Translation Translation +1

Who caught a cold ? - Identifying the subject of a symptom

no code implementations • IJCNLP 2015 • Shin Kanouchi, Mamoru Komachi, Naoaki Okazaki, Eiji Aramaki, Hiroshi Ishikawa