SemSeq: A Regime for Training Widely-Applicable Word-Sequence Encoders

von Tsuyuki, Hiroaki
Veröffentlicht in International Conference of the Pacific Association for Computational Linguistics (16. : 2019 : Hanoi) Computational linguistics (2020)