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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 46 1 Observation of new excited ${B} ^0_{s} $ states Aaij, Roel; Abellán Beteta, Carlos; Ackernley, Thomas... In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-03010999 ; Eur.Phys.J.C, 2021, 81 (7), pp.601. ⟨10.1140/epjc/s10052-021-09305-3⟩ (2021) BASE Show details 2 Generative Imagination Elevates Machine Translation ... NAACL 2021 2021; Li, Lei; Long, Quanyu. - : Underline Science Inc., 2021 BASE Show details 3 End-to-end Speech Translation via Cross-modal Progressive Training ... Ye, Rong; Wang, Mingxuan; Li, Lei. - : arXiv, 2021 BASE Show details 4 Locate then Segment: A Strong Pipeline for Referring Image Segmentation ... Jing, Ya; Kong, Tao; Wang, Wei. - : arXiv, 2021 BASE Show details 5 Personalized Transformer for Explainable Recommendation ... Li, Lei; Zhang, Yongfeng; Chen, Li. - : arXiv, 2021 BASE Show details 6 Learning Language Specific Sub-network for Multilingual Machine Translation ... Lin, Zehui; Wu, Liwei; Wang, Mingxuan. - : arXiv, 2021 BASE Show details 7 Contrastive Learning for Many-to-many Multilingual Neural Machine Translation ... Pan, Xiao; Wang, Mingxuan; Wu, Liwei. - : arXiv, 2021 BASE Show details 8 Multilingual Translation via Grafting Pre-trained Language Models ... Sun, Zewei; Wang, Mingxuan; Li, Lei. - : arXiv, 2021 Abstract: Can pre-trained BERT for one language and GPT for another be glued together to translate texts? Self-supervised training using only monolingual data has led to the success of pre-trained (masked) language models in many NLP tasks. However, directly connecting BERT as an encoder and GPT as a decoder can be challenging in machine translation, for GPT-like models lack a cross-attention component that is needed in seq2seq decoders. In this paper, we propose Graformer to graft separately pre-trained (masked) language models for machine translation. With monolingual data for pre-training and parallel data for grafting training, we maximally take advantage of the usage of both types of data. Experiments on 60 directions show that our method achieves average improvements of 5.8 BLEU in x2en and 2.9 BLEU in en2x directions comparing with the multilingual Transformer of the same size. ... : Accepted in EMNLP 2021 (Findings) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2109.05256 https://dx.doi.org/10.48550/arxiv.2109.05256 BASE Hide details 9 Counter-Interference Adapter for Multilingual Machine Translation ... Zhu, Yaoming; Feng, Jiangtao; Zhao, Chengqi. - : arXiv, 2021 BASE Show details 10 MTG: A Benchmarking Suite for Multilingual Text Generation ... Chen, Yiran; Song, Zhenqiao; Wu, Xianze. - : arXiv, 2021 BASE Show details 11 Language Tags Matter for Zero-Shot Neural Machine Translation ... Wu, Liwei; Cheng, Shanbo; Wang, Mingxuan. - : arXiv, 2021 BASE Show details 12 Personalized Transformer for Explainable Recommendation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Li; Li, Lei. - : Underline Science Inc., 2021 BASE Show details 13 Dynamic Knowledge Distillation for Pre-trained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Lei. - : Underline Science Inc., 2021 BASE Show details 14 Learning Shared Semantic Space for Speech-to-Text Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Han, Chi; Ji, Heng. - : Underline Science Inc., 2021 BASE Show details 15 Glancing Transformer for Non-Autoregressive Neural Machine Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Bao, Yu; Li, Lei. - : Underline Science Inc., 2021 BASE Show details 16 Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Lei; Ren, Shuhuai. - : Underline Science Inc., 2021 BASE Show details 17 Probabilistic Graph Reasoning for Natural Proof Generation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, chenjiaze@bytedance.com; Chen, Jiangjie. - : Underline Science Inc., 2021 BASE Show details 18 Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chang, Baobao; Li, Lei. - : Underline Science Inc., 2021 BASE Show details 19 Multilingual Translation via Grafting Pre-trained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Li, Lei; Sun, Zewei. - : Underline Science Inc., 2021 BASE Show details 20 Language Tags Matter for Zero-Shot Neural Machine Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cheng, Shanbo; Li, Lei. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3

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