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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 4 5...7 Hits 1 – 20 of 131 1 Integrating Vectorized Lexical Constraints for Neural Machine Translation ... Wang, Shuo; Tan, Zhixing; Liu, Yang. - : arXiv, 2022 BASE Show details 2 Contextual Semantic-Guided Entity-Centric GCN for Relation Extraction Jun Long; Lei Liu; Hongxiao Fei; Yiping Xiang; Haoran Li; Wenti Huang; Liu Yang In: Mathematics; Volume 10; Issue 8; Pages: 1344 (2022) BASE Show details 3 Virtual Reality-Integrated Immersion-Based Teaching to English Language Learning Outcome Xie, Yu; Liu, Yang; Zhang, Fengrui... In: Front Psychol (2022) BASE Show details 4 Unframing and reframing shanshui Liu, Yang. - 2022 BASE Show details 5 Alternated Training with Synthetic and Authentic Data for Neural Machine Translation ... Jiao, Rui; Yang, Zonghan; Sun, Maosong. - : arXiv, 2021 BASE Show details 6 CPM-2: Large-scale Cost-effective Pre-trained Language Models ... Zhang, Zhengyan; Gu, Yuxian; Han, Xu. - : arXiv, 2021 BASE Show details 7 VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator ... Shrivastava, Ayush; Gopalakrishnan, Karthik; Liu, Yang. - : arXiv, 2021 BASE Show details 8 Assessing Multilingual Fairness in Pre-trained Multimodal Representations ... Wang, Jialu; Liu, Yang; Wang, Xin Eric. - : arXiv, 2021 BASE Show details 9 Dialog{S}um: {A} Real-Life Scenario Dialogue Summarization Dataset ... 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, Yulong; Chen, Liang. - : Underline Science Inc., 2021 BASE Show details 10 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 11 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; Sun, Maosong. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.369 Abstract: Word alignment, which aims to align translationally equivalent words between source and target sentences, plays an important role in many natural language processing tasks. Current unsupervised neural alignment methods focus on inducing alignments from neural machine translation models, which does not leverage the full context in the target sequence. In this paper, we propose Mask-Align, a self-supervised word alignment model that takes advantage of the full context on the target side. Our model masks out each target token and predicts it conditioned on both source and the remaining target tokens. This two-step process is based on the assumption that the source token contributing most to recovering the masked target token should be aligned. We also introduce an attention variant called leaky attention, which alleviates the problem of unexpected high cross-attention weights on special tokens such as periods. Experiments on four language ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/b7ad-g040 https://underline.io/lecture/25688-mask-align-self-supervised-neural-word-alignment BASE Hide details 12 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 13 Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ding , Kaize; Fan, Xing. - : Underline Science Inc., 2021 BASE Show details 14 SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ... Jiang, Aiqi; Yang, Xiaohan; Liu, Yang. - : arXiv, 2021 BASE Show details 15 Analyzing the Limits of Self-Supervision in Handling Bias in Language ... Bauer, Lisa; Gopalakrishnan, Karthik; Gella, Spandana. - : arXiv, 2021 BASE Show details 16 Statistically significant detection of semantic shifts using contextual word embeddings ... Liu, Yang; Medlar, Alan; Glowacka, Dorota. - : arXiv, 2021 BASE Show details 17 SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ... Jiang, Aiqi; Xiaohan Yang; Liu, Yang. - : Zenodo, 2021 BASE Show details 18 Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Dorota; Liu, Yang. - : Underline Science Inc., 2021 BASE Show details 19 Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chen, Deli; Dai, Damai. - : Underline Science Inc., 2021 BASE Show details 20 SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ... Jiang, Aiqi; Xiaohan Yang; Liu, Yang. - : Zenodo, 2021 BASE Show details Page: 1 2 3 4 5...7

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