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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 – 10 of 10 1 Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training ... Zheng, Bo; Dong, Li; Huang, Shaohan. - : arXiv, 2021 BASE Show details 2 Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network ... Jiang, Tianwen; Zhao, Tong; Qin, Bing. - : arXiv, 2020 BASE Show details 3 N-LTP: An Open-source Neural Language Technology Platform for Chinese ... Che, Wanxiang; Feng, Yunlong; Qin, Libo. - : arXiv, 2020 BASE Show details 4 Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation ... Che, Wanxiang; Liu, Yijia; Wang, Yuxuan. - : arXiv, 2018 BASE Show details 5 Neural Personalized Response Generation as Domain Adaptation ... Zhang, Weinan; Liu, Ting; Wang, Yifa. - : arXiv, 2017 BASE Show details 6 Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning ... Guo, Jiang; Che, Wanxiang; Wang, Haifeng. - : arXiv, 2016 BASE Show details 7 Additional file 1: of Prediction of the next highly pathogenic avian influenza pandemic that can cause illness in humans ... Zhang, Zhong-Wei; Liu, Ting; Zeng, Jian. - : Figshare, 2015 BASE Show details 8 Additional file 1: of Prediction of the next highly pathogenic avian influenza pandemic that can cause illness in humans ... Zhang, Zhong-Wei; Liu, Ting; Zeng, Jian. - : Figshare, 2015 BASE Show details 9 Effective LSTMs for Target-Dependent Sentiment Classification ... Tang, Duyu; Qin, Bing; Feng, Xiaocheng. - : arXiv, 2015 BASE Show details 10 Emotion Analysis Platform on Chinese Microblog ... Tang, Duyu; Qin, Bing; Liu, Ting; Shi, Qiuhui. - : arXiv, 2014 Abstract: Weibo, as the largest social media service in China, has billions of messages generated every day. The huge number of messages contain rich sentimental information. In order to analyze the emotional changes in accordance with time and space, this paper presents an Emotion Analysis Platform (EAP), which explores the emotional distribution of each province, so that can monitor the global pulse of each province in China. The massive data of Weibo and the real-time requirements make the building of EAP challenging. In order to solve the above problems, emoticons, emotion lexicon and emotion-shifting rules are adopted in EAP to analyze the emotion of each tweet. In order to verify the effectiveness of the platform, case study on the Sichuan earthquake is done, and the analysis result of the platform accords with the fact. In order to analyze from quantity, we manually annotate a test set and conduct experiment on it. The experimental results show that the macro-Precision of EAP reaches 80% and the EAP works ... : 11 pages, 6 figures ... Keyword: Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; Information Retrieval cs.IR URL: https://dx.doi.org/10.48550/arxiv.1403.7335 https://arxiv.org/abs/1403.7335 BASE Hide details

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