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Li Dong - Homepage Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong, Furu Wei Findings of Association for Computational Linguistics (Findings of ACL), Long paper, 2021 pdf bib code
A Statistical Parsing Framework for Sentiment Classification - dong. li Li Dong Lexicon-based Lexicons (funny, dislike) + Rules (not *, * but *) Pros: simple, interpretable Cons: scalability Classifier-based Classifier (SVM, MaxEnt) + Features (n-gram, POS) Pros: data-driven, coverage Cons: tricks to handle sentiment compositions Two Mainstream Methods Li Dong Two key components
MoodLens: An Emoticon-Based Sentiment Analysis System for . . . - dong. li MoodLens is an online sentiment analysis system for Chi-nese tweets in Weibo It employs the emoticons for the gen-eration of sentiment labels for tweets, and builds an incre-mental learning Na ̈ıve Bayes classifier for the categorization of four types of sentiments: angry, disgusting, joyful, and sad
dong. li @inproceedings{unilmv2, author = {Bao, Hangbo and Dong, Li and Wei, Furu and Wang, Wenhui and Yang, Nan and Liu, Xiaodong and Wang, Yu and Gao, Jianfeng and Piao, Songhao and Zhou, Ming and Hon, Hsiao-Wuen}, title = {{UniLMv2}: Pseudo-Masked Language Models for Unified Language Model Pre-Training}, booktitle = {Proceedings of the 37th International Conference on Machine Learning}, pages