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Fudan University. Verified email at fudan.edu.cn - Homepage. Machine Learning Natural Language Processing. Articles Cited by Co-authors.

Minlong peng

Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings. Yang Xu, Jiawei Liu, Wei Yang, Liusheng Huang. Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game. Haichao Zhang, Haonan Yu, Wei Xu This is "Part-of-Speech Tagging for Twitter with Adversarial Neural Networks-Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng, Xuanjing Huan" by ACL on Vimeo,… Minlong Peng 7 publications . Tao Gui 6 publications .

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Taguchi, Ayumu. Dhillon, Dilsher. Kundnani, Deepali L. Patel, Nikul J. is possible and provides a high yield (83 ± 4.2 %) during 40 min long reaction. (2) Etman, A. S.; Asfaw, H. D.; Yuan, N.; Li, J.; Zhou, Z.; Peng, F.; Persson, I.; att jag kan sälja av klockan vid ett senare tillfälle för ungefär samma peng, något jag inte riktigt Vad ska jag satsa på till min Long Playing??

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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.

Ruotian Ma 1, Minlong Peng , Qi Zhang 1;3, Zhongyu Wei2, Xuanjing Huang 1Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University 2School of Data Science, Fudan University 3Research Institute of Intelligent and Complex Systems, Fudan University frtma19,mlpeng16,qz,zywei,xjhuangg@fudan.edu.cn Minlong Peng, Qiyuan Bian, Qi Zhang, Tao Gui, Jinlan Fu, Lanjun Zeng, Xuanjing Huang. Model the Long-Term Post History for Hashtag Recommendation. CCF International Conference on Natural Language Processing and Chinese Computing. Minlong Peng, Ruotian Ma, Qi Zhang, Xuanjing Huang Recently, many works have tried to utilizing word lexicon to augment the performance of Chinese named entity recognition (NER). 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.
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Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri and Pawan Goyal In this work, we explore the way to perform named entity recognition (NER) using only unlabeled data and named entity dictionaries. To this end, we formulate the task as a positive-unlabeled (PU) learning problem and accordingly propose a novel PU learning algorithm to perform the task. We prove that the proposed algorithm can unbiasedly and consistently estimate the task loss as if there is 2020-10-14 · Cite this paper as: Xing X., Peng M., Zhang Q., Liu Q., Huang X. (2020) Learning to Generate Representations for Novel Words: Mimic the OOV Situation in Training. Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu AAAI21 Filter by Year.

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Abstract Paper Share. Information Extraction Long Paper. Session 11A: Jul 8 (05:00 2019-08-16 · Recently, many works have tried to utilizing word lexicon to augment the performance of Chinese named entity recognition (NER).

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results. Research Areas. Named Entity Recognition • Minlong Peng v-mipeng. I am now a Ph.D.

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OR AND NOT 1. 2018 2020-10-14 Figure 1: Applying of our method to an illustrative sentence for additionally introducing Job Title in the target task. Here, words in blue color constitute a job title. Partial Label corresponds to the automatically obtained partial labels using the job title lexicon, where U means the label of the word is unknown (can be O or JOB).

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