Hiroaki Tsuyuki, Tetsuji Ogawa, Tetsunori Kobayashi, Yoshihiko Hayashi. SemSeq: A Regime for Training Widely-Applicable Word-Sequence Encoders. In Le Minh Nguyen, Xuan Hieu Phan, Kôiti Hasida, Satoshi Tojo, editors, Computational Linguistics - 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11-13, 2019, Revised Selected Papers. Volume 1215 of Communications in Computer and Information Science, pages 43-55, Springer, 2019. [doi]
@inproceedings{TsuyukiOKH19,
title = {SemSeq: A Regime for Training Widely-Applicable Word-Sequence Encoders},
author = {Hiroaki Tsuyuki and Tetsuji Ogawa and Tetsunori Kobayashi and Yoshihiko Hayashi},
year = {2019},
doi = {10.1007/978-981-15-6168-9_4},
url = {https://doi.org/10.1007/978-981-15-6168-9_4},
researchr = {https://researchr.org/publication/TsuyukiOKH19},
cites = {0},
citedby = {0},
pages = {43-55},
booktitle = {Computational Linguistics - 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11-13, 2019, Revised Selected Papers},
editor = {Le Minh Nguyen and Xuan Hieu Phan and Kôiti Hasida and Satoshi Tojo},
volume = {1215},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-981-15-6168-9},
}