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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 Hits 1 – 20 of 37 1 Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ... Qi, Fanchao; Lv, Chuancheng; Liu, Zhiyuan. - : arXiv, 2022 BASE Show details 2 YACLC: A Chinese Learner Corpus with Multidimensional Annotation ... Wang, Yingying; Kong, Cunliang; Yang, Liner. - : arXiv, 2021 BASE Show details 3 Alternated Training with Synthetic and Authentic Data for Neural Machine Translation ... Jiao, Rui; Yang, Zonghan; Sun, Maosong. - : arXiv, 2021 BASE Show details 4 CPM-2: Large-scale Cost-effective Pre-trained Language Models ... Zhang, Zhengyan; Gu, Yuxian; Han, Xu. - : arXiv, 2021 BASE Show details 5 Automatic Construction of Sememe Knowledge Bases via Dictionaries ... Qi, Fanchao; Chen, Yangyi; Wang, Fengyu. - : arXiv, 2021 BASE Show details 6 Sub-Character Tokenization for Chinese Pretrained Language Models ... Si, Chenglei; Zhang, Zhengyan; Chen, Yingfa. - : arXiv, 2021 BASE Show details 7 CCPM: A Chinese Classical Poetry Matching Dataset ... Li, Wenhao; Qi, Fanchao; Sun, Maosong. - : arXiv, 2021 BASE Show details 8 MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ... Zhang, Zhengyan; Lin, Yankai; Liu, Zhiyuan. - : arXiv, 2021 BASE Show details 9 Transfer Learning for Sequence Generation: from Single-source to Multi-source ... 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; Huang, Xuancheng; Liu, Yang. - : Underline Science Inc., 2021 BASE Show details 10 Mask-Align: Self-Supervised Neural Word Alignment ... 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, Chi; Liu, Yang. - : Underline Science Inc., 2021 BASE Show details 11 Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Gang; Huang, Kaiyu. - : Underline Science Inc., 2021 BASE Show details 12 OpenAttack: An Open-source Textual Adversarial Attack Toolkit ... Zeng, Guoyang; Qi, Fanchao; Zhou, Qianrui. - : arXiv, 2020 BASE Show details 13 Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet ... The 28th International Conference on Computational Linguistics 2020; Hou, Bairu; Liu, Zhiyuan. - : Underline Science Inc., 2020 BASE Show details 14 Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence ... Du, Jiaju; Qi, Fanchao; Sun, Maosong. - : arXiv, 2020 BASE Show details 15 Chinese computational linguistics : 18th China National Conference, CCL 2019, Kunming, China, October 18-20, 2019 : proceedings Liu, Zhiyuan (Herausgeber); Jiang, Heng (Herausgeber); Liu, Yang (Herausgeber). - Cham, Switzerland : Springer, 2019 BLLDB UB Frankfurt Linguistik Show details 16 Improving Back-Translation with Uncertainty-based Confidence Estimation ... Wang, Shuo; Liu, Yang; Wang, Chao; Luan, Huanbo; Sun, Maosong. - : arXiv, 2019 Abstract: While back-translation is simple and effective in exploiting abundant monolingual corpora to improve low-resource neural machine translation (NMT), the synthetic bilingual corpora generated by NMT models trained on limited authentic bilingual data are inevitably noisy. In this work, we propose to quantify the confidence of NMT model predictions based on model uncertainty. With word- and sentence-level confidence measures based on uncertainty, it is possible for back-translation to better cope with noise in synthetic bilingual corpora. Experiments on Chinese-English and English-German translation tasks show that uncertainty-based confidence estimation significantly improves the performance of back-translation. ... : EMNLP 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1909.00157 https://dx.doi.org/10.48550/arxiv.1909.00157 BASE Hide details 17 Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets ... Qi, Fanchao; Chang, Liang; Sun, Maosong. - : arXiv, 2019 BASE Show details 18 Modeling Semantic Compositionality with Sememe Knowledge ... Qi, Fanchao; Huang, Junjie; Yang, Chenghao. - : arXiv, 2019 BASE Show details 19 OpenHowNet: An Open Sememe-based Lexical Knowledge Base ... Qi, Fanchao; Yang, Chenghao; Liu, Zhiyuan. - : arXiv, 2019 BASE Show details 20 Neural Machine Translation with Explicit Phrase Alignment ... Zhang, Jiacheng; Luan, Huanbo; Sun, Maosong. - : arXiv, 2019 BASE Show details Page: 1 2

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