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Natural language processing and computational linguistics research group at the Tokyo Metropolitan University. We aim at creating a research hub for natural language processing in Tokyo.

Keywords

natural language processing (error correction, machine translation, information extraction, semantic analysis), web mining, machine learning (deep learning, representation learning)

News

  • 2017/10/01 Our papers were accepted at the workshops of the 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)!
    • Kento Shioda, Mamoru Komachi, Rue Ikeya (ROIS) and Daichi Mochihashi (ISM). Suggesting Sentences for ESL using Kernel Embeddings. NLPTEA 2017.
    • Aizhan Imankulova, Takayuki Sato and Mamoru Komachi. Improving Low-Resource Neural Machine Translation with Filtered Pseudo-Parallel Corpora. WAT 2017.
    • Yuuki Sekizawa, Tomoyuki Kajiwara and Mamoru Komachi. Improving Japanese-English Neural Machine Translation by Paraphrasing the Target Language. WAT 2017.
  • 2017/09/25 We published following paper on arXiv.
    • Yoshiaki Kitagawa and Mamoru Komachi. Long-Short Term Memory for Japanese Word Segmentation. In arXiv e-prints, 1709.08011 (10 pages). September 2017. (paper)
  • 2017/09/14 Our papers were accepted at The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)!
    • Masahiro Kaneko, Yuya Sakaizawa, Mamoru Komachi. Grammatical Error Detection Using Error- and Grammaticality-Specific Word Embeddings. IJCNLP 2017. (long paper)
    • Tomoyuki Kajiwara, Mamoru Komachi, Daichi Mochihashi (Institute of Statistical Mathematics). MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting. IJCNLP 2017. (long paper)
    • Hayahide Yamagishi, Shin Kanouchi, Takayuki Sato, Mamoru Komachi. Improving Japanese-to-English Neural Machine Translation by Voice Prediction. IJCNLP 2017. (short paper)
    • Tomoyuki Kajiwara and Atsushi Fujita (National Institute of Information and Communications Technology). Semantic Features based on Word Alignments for Estimating Quality of Text Simplification. IJCNLP 2017. (short paper)
  • 2017/07/31 We released Tokyo Metropolitan University Paraphrase Corpus (TMUP).
  • 2017/06/27 We published following paper on arXiv.
    • Yukio Matsumura, Takayuki Sato and Mamoru Komachi. English-Japanese Neural Machine Translation with Encoder-Decoder-Reconstructor. In arXiv e-prints, 1706.08198 (8 pages). June 2017.
  • 2017/05/23 Our paper will be presented at 2017 ACL Student Research Workshop. See you in Vancouver!
    • Yui Suzuki, Tomoyuki Kajiwara and Mamoru Komachi. Building a Non-Trivial Paraphrase Corpus using Multiple Machine Translation Systems. In ACL 2017 Student Research Workshop.  August 2017. (to appear)
  • 2017/04/05 We published following papers on arXiv.
    • Ryosuke Miyazaki and Mamoru Komachi. Japanese Sentiment Classification using a Tree-Structured Long Short-Term Memory with Attention. In arXiv e-prints, 1704.00924 (6 pages). April 2017. (paper)
    • Junki Matsuo, Mamoru Komachi and Katsuhito Sudoh. Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings. In arXiv e-prints, 1704.00380 (5 pages). April 2017. (paper)
  • 2017/04/04 New members joined our lab!
    • Masters students: S. Sugan, Makoto Takenaka and Ryosuke Shirai.
    • Undergraduates: Yota Osanai, Naruhisa Shirai, Michiki Kurosawa, Hiroki Shimanaka and Satoru Katsumata
    • Research student: Kohei Akiyama and Mio Arai
  • 2017/03/20 We published following paper on arXiv.
    • Yuya Sakaizawa and Mamoru Komachi. Construction of a Japanese Word Similarity Dataset. In arXiv e-prints, 1703.05916 (5 pages). March 2017.
  • 2017/03/16 We published following paper on arXiv.
    • Ai Hirata and Mamoru Komachi. Sparse Named Entity Classification using Factorization Machines. In arXiv e-prints, 1703.04879 (5 pages). March 2017.
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