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

Hiroaki Tsuyuki et al. (2019)

Details and statistics

DOI: 10.1007/978-981-15-6168-9_4

access: closed

type: Conference or Workshop Paper

metadata version: 2020-07-06

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