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His Dr. degree in Computer Science was received from Fudan Univerisity, in 2009. Upload an image to customize your repository’s social media preview. Images should be at least 640×320px (1280×640px for best display). Tao Gui, Qi Zhang, Jingjing Gong, Minlong Peng, di liang, Keyu Ding and Xuanjing Huang Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit.

Minlong peng

Multi-view Embedding-based Synonyms for Email Search. Cheng Li, Mingyang Zhang, Michael Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei and Xuanjing Huang; A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers Aditi Chaudhary, Jiateng Xie, Zaid Sheikh, Graham Neubig and Jaime Carbonell; A Logic-Driven Framework for Consistency of Neural Models Trainable Undersampling for Class-Imbalance Learning Minlong Peng1, Qi Zhang1, Xiaoyu Xing1, Tao Gui1, Xuanjing Huang1 Yu-Gang Jiang1, Keyu Ding2, Zhigang Chen2 School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, 2019-08-14 Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu and Xuanjing Huang School of Computer Science, Fudan University, Shanghai, China fmlpeng16, qz, xyxing18, tgui16, fujl16, xjhuangg@fudan.edu.cn Abstract Word representation is a key component in neural-network-based sequence labeling systems. Howev- Minlong Peng, Qi Zhang, Yu-gang Jiang, Xuanjing Huang. Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings.

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In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’19), July 21–25, 2019, Paris 06/04/2019 ∙ by Minlong Peng, et al. ∙ FUDAN University ∙ 0 ∙ share In this work, we explore the way to perform named entity recognition (NER) using only unlabeled data and named entity dictionaries. Tao Gui, Peng Liu, Qi Zhang, Liang Zhu, Minlong Peng, Yunhua Zhou and Xuanjing Huang Social Media | Mention Recommendation | Reinforcement Learning Multi-view Embedding-based Synonyms for Email Search Peng, Minlong (Fudan university) Peng, Wen-Chih (National Chiao Tung University) Pereira Nunes, Bernardo (Australian National University) Perera, Sujan (IBM Watson) Pesquita, Catia (LaSIGE, Faculdade de Ciências, Universidade de Lisboa) Pibiri, Giulio Ermanno (University of Pisa) Piccardi, Tiziano (Ecole Polytechnique Fédérale de Lausanne) 上领英，在全球领先职业社交平台查看minlong peng的职业档案。minlong的职业档案列出了教育经历。上领英，查看minlong的完整档案，结识职场人脉和查看相似公司的职位。 Reject complicated operations for incorporating lexicon for Chinese NER. - v-mipeng/LexiconAugmentedNER Minlong Peng, Qi Zhang, Yu-gang Jiang, Xuanjing Huang Shanghai Key Laboratory of Intelligent Information Processing, Fudan University School of Computer Science, Fudan University 825 Zhangheng Road, Shanghai, China fmlpeng16,qz,ygj,xjhuangg@fudan.edu.cn Abstract The task of adopting a model with good performance to a target domain that is Minlong Peng, Qi Zhang, Yu-gang Jiang, Xuanjing Huang.

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Articles Cited by Co-authors. Title. Sort. Read Minlong Peng's latest research, browse their coauthor's research, and play around with their algorithms Search for Minlong Peng's work.

Read Minlong Peng's latest research, browse their coauthor's research, and play around with their algorithms Search for Minlong Peng's work. Search Search. Home Minlong Peng Publications Minlong Peng.
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As a representative work in this line, Lattice-LSTM \cite {zhang2018chinese} has achieved new state-of-the-art performance on several benchmark Chinese NER datasets. Minlong Peng. Fudan University. Verified email at fudan.edu.cn - Homepage. Machine Learning Natural Language Processing.

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Publisher: IEEE.