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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; Li, Zhongli; Li, Chao; Mao, Xian-Ling; Wang, Zizhen; Xu, Heng-Da; Zhou, Qingyu. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.64 Abstract: Chinese Spell Checking (CSC) aims to detect and correct erroneous characters for user-generated text in the Chinese language. Most of the Chinese spelling errors are misused semantically, phonetically or graphically similar characters. Previous attempts noticed this phenomenon and try to use the similarity for this task. However, these methods use either heuristics or handcrafted confusion sets to predict the correct character. In this paper, we propose a Chinese spell checker called ReaLiSe, by directly leveraging the multimodal information of the Chinese characters. The ReaLiSe model tackles the CSC task by (1) capturing the semantic, phonetic and graphic information of the input characters, and (2) selectively mixing the information in these modalities to predict the correct output. Experiments on the SIGHAN benchmarks show that the proposed model outperforms strong baselines by a large margin. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/26155-read,-listen,-and-see-leveraging-multimodal-information-helps-chinese-spell-checking https://dx.doi.org/10.48448/1cbf-ne68 BASE Hide 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. - : arXiv, 2019 BASE Show 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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