Tohru Shimizu

Also published as: Toru Shimizu


Pretraining Sentiment Classifiers with Unlabeled Dialog Data
Toru Shimizu | Nobuyuki Shimizu | Hayato Kobayashi
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

The huge cost of creating labeled training data is a common problem for supervised learning tasks such as sentiment classification. Recent studies showed that pretraining with unlabeled data via a language model can improve the performance of classification models. In this paper, we take the concept a step further by using a conditional language model, instead of a language model. Specifically, we address a sentiment classification task for a tweet analysis service as a case study and propose a pretraining strategy with unlabeled dialog data (tweet-reply pairs) via an encoder-decoder model. Experimental results show that our strategy can improve the performance of sentiment classifiers and outperform several state-of-the-art strategies including language model pretraining.


Multilingual Mobile-Phone Translation Services for World Travelers
Michael Paul | Hideo Okuma | Hirofumi Yamamoto | Eiichiro Sumita | Shigeki Matsuda | Tohru Shimizu | Satoshi Nakamura
Coling 2008: Companion volume: Demonstrations


NICT-ATR Speech-to-Speech Translation System
Eiichiro Sumita | Tohru Shimizu | Satoshi Nakamura
Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume Proceedings of the Demo and Poster Sessions


Development of client-server speech translation system on a multi-lingual speech communication platform
Tohru Shimizu | Yutaka Ashikari | Eiichiro Sumita | Hideki Kashioka | Satoshi Nakamura
Proceedings of the Third International Workshop on Spoken Language Translation: Papers