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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; Liu, Ting. - : arXiv, 2015 Abstract: Target-dependent sentiment classification remains a challenge: modeling the semantic relatedness of a target with its context words in a sentence. Different context words have different influences on determining the sentiment polarity of a sentence towards the target. Therefore, it is desirable to integrate the connections between target word and context words when building a learning system. In this paper, we develop two target dependent long short-term memory (LSTM) models, where target information is automatically taken into account. We evaluate our methods on a benchmark dataset from Twitter. Empirical results show that modeling sentence representation with standard LSTM does not perform well. Incorporating target information into LSTM can significantly boost the classification accuracy. The target-dependent LSTM models achieve state-of-the-art performances without using syntactic parser or external sentiment lexicons. ... : 7 pages, 3 figures published in COLING 2016 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1512.01100 https://arxiv.org/abs/1512.01100 BASE Hide details 10 Emotion Analysis Platform on Chinese Microblog ... Tang, Duyu; Qin, Bing; Liu, Ting. - : arXiv, 2014 BASE Show details

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