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Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations.

, , , , , and . EMNLP, page 3285-3295. Association for Computational Linguistics, (2018)

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Category Enhanced Word Embedding., , , and . CoRR, (2015)Understanding Knowledge Distillation in Non-autoregressive Machine Translation., , and . CoRR, (2019)Optimized Periodical Charging in Large-Scale Deployed WSNs., , , , , , and . GLOBECOM, page 1-6. IEEE, (2015)Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction., and . ACL (1), page 310-320. Association for Computational Linguistics, (2017)Density Matching for Bilingual Word Embedding., , , and . NAACL-HLT (1), page 1588-1598. Association for Computational Linguistics, (2019)StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing., , , and . ACL (1), page 754-765. Association for Computational Linguistics, (2018)Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations., , , , , and . EMNLP, page 3285-3295. Association for Computational Linguistics, (2018)MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders., , and . ICLR (Poster), OpenReview.net, (2019)Efficient Methods for Multi-label Classification., , , and . PAKDD (1), volume 9077 of Lecture Notes in Computer Science, page 164-175. Springer, (2015)Morphological Inflection Generation with Multi-space Variational Encoder-Decoders., and . CoNLL Shared Task (1), page 58-65. Association for Computational Linguistics, (2017)