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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. - : arXiv, 2019 BASE Show 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; Liu, Zhiyuan; Chen, Xiao; Liu, Qun; Sun, Maosong. - : arXiv, 2019 Abstract: Semantic compositionality (SC) refers to the phenomenon that the meaning of a complex linguistic unit can be composed of the meanings of its constituents. Most related works focus on using complicated compositionality functions to model SC while few works consider external knowledge in models. In this paper, we verify the effectiveness of sememes, the minimum semantic units of human languages, in modeling SC by a confirmatory experiment. Furthermore, we make the first attempt to incorporate sememe knowledge into SC models, and employ the sememeincorporated models in learning representations of multiword expressions, a typical task of SC. In experiments, we implement our models by incorporating knowledge from a famous sememe knowledge base HowNet and perform both intrinsic and extrinsic evaluations. Experimental results show that our models achieve significant performance boost as compared to the baseline methods without considering sememe knowledge. We further conduct quantitative analysis and case studies ... : To appear at ACL 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1907.04744 https://dx.doi.org/10.48550/arxiv.1907.04744 BASE Hide 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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