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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; Liu, Ting. - : arXiv, 2020 Abstract: We introduce \texttt{N-LTP}, an open-source neural language technology platform supporting six fundamental Chinese NLP tasks: {lexical analysis} (Chinese word segmentation, part-of-speech tagging, and named entity recognition), {syntactic parsing} (dependency parsing), and {semantic parsing} (semantic dependency parsing and semantic role labeling). Unlike the existing state-of-the-art toolkits, such as \texttt{Stanza}, that adopt an independent model for each task, \texttt{N-LTP} adopts the multi-task framework by using a shared pre-trained model, which has the advantage of capturing the shared knowledge across relevant Chinese tasks. In addition, a knowledge distillation method \cite{DBLP:journals/corr/abs-1907-04829} where the single-task model teaches the multi-task model is further introduced to encourage the multi-task model to surpass its single-task teacher. Finally, we provide a collection of easy-to-use APIs and a visualization tool to make users to use and view the processing results more easily ... : Accepted to appear in EMNLP 2021 (Demo) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2009.11616 https://arxiv.org/abs/2009.11616 BASE Hide 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. - : arXiv, 2014 BASE Show details

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