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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 Hits 1 – 12 of 12 1 Cross-Lingual Phrase Retrieval ... Zheng, Heqi; Zhang, Xiao; Chi, Zewen. - : arXiv, 2022 BASE Show details 2 Cross-Lingual Language Model Meta-Pretraining ... Chi, Zewen; Huang, Heyan; Liu, Luyang. - : arXiv, 2021 BASE Show details 3 Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment ... Chi, Zewen; Dong, Li; Zheng, Bo. - : arXiv, 2021 BASE Show details 4 XLM-E: Cross-lingual Language Model Pre-training via ELECTRA ... Chi, Zewen; Huang, Shaohan; Dong, Li. - : arXiv, 2021 BASE Show details 5 Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking? ... 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, Heyan; Mao, Xian-Ling. - : Underline Science Inc., 2021 BASE Show details 6 Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking ... 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; Cao, yunbocao@tencent.com; Huang, Heyan. - : Underline Science Inc., 2021 BASE Show details 7 Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking ... Xu, Heng-Da; Li, Zhongli; Zhou, Qingyu. - : arXiv, 2021 BASE Show details 8 A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition ... Yu, Houjin; Mao, Xian-Ling; Chi, Zewen. - : arXiv, 2021 BASE Show details 9 InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training ... Chi, Zewen; Dong, Li; Wei, Furu. - : arXiv, 2020 BASE Show details 10 Multi-task Learning for Low-resource Second Language Acquisition Modeling ... Hu, Yong; Huang, Heyan; Lan, Tian; Wei, Xiaochi; Nie, Yuxiang; Qi, Jiarui; Yang, Liner; Mao, Xian-Ling. - : arXiv, 2019 Abstract: Second language acquisition (SLA) modeling is to predict whether second language learners could correctly answer the questions according to what they have learned. It is a fundamental building block of the personalized learning system and has attracted more and more attention recently. However, as far as we know, almost all existing methods cannot work well in low-resource scenarios due to lacking of training data. Fortunately, there are some latent common patterns among different language-learning tasks, which gives us an opportunity to solve the low-resource SLA modeling problem. Inspired by this idea, in this paper, we propose a novel SLA modeling method, which learns the latent common patterns among different language-learning datasets by multi-task learning and are further applied to improving the prediction performance in low-resource scenarios. Extensive experiments show that the proposed method performs much better than the state-of-the-art baselines in the low-resource scenario. Meanwhile, it also ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1908.09283 https://dx.doi.org/10.48550/arxiv.1908.09283 BASE Hide details 11 Can Monolingual Pretrained Models Help Cross-Lingual Classification? ... Chi, Zewen; Dong, Li; Wei, Furu. - : arXiv, 2019 BASE Show details 12 Cross-Lingual Natural Language Generation via Pre-Training ... Chi, Zewen; Dong, Li; Wei, Furu. - : arXiv, 2019 BASE Show details

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