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We propose SentiBERT, a variant of BERT that effectively captures compositional sentiment semantics.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data
Jacob Harer, Chris Reale, and Peter Chin. 2019 · 1908
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SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis
Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, and Minlie Huang. 2019 · 1911
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A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution
Hu Xu, Bing Liu, Lei Shu, and Philip S Yu. 2019 · 1911
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The Principle of Semantic Compositionality
Francis Jeffry Pelletier. 1994 · 1994
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Long Short-Term Memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Thumbs Up?: Sentiment Classification Using Machine Learning techniques
Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002 · 2002
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Mining and Summarizing Customer Reviews
Minqing Hu and Bing Liu. 2004 · 2004
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A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
Bo Pang and Lillian Lee. 2004 · 2004
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Vector-based Models of Semantic Composition
Jeff Mitchell and Mirella Lapata. 2008 · 2008
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Opinion Mining and Sentiment Analysis
Bo Pang, Lillian Lee, et al. 2008 · 2008
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Sentiwordnet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining
Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2010 · 2010
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Sentiment Analysis and Opinion Mining
Bing Liu. 2012 · 2012
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Semantic Compositionality through Recursive Matrix-Vector Spaces
Richard Socher, Brody Huval, Christopher D Manning, and Andrew Y Ng. 2012 · 2012
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Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
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Convolutional Neural Networks for Sentence Classification
Yoon Kim. 2014 · 2014
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The Stanford CoreNLP Natural Language Processing Toolkit
Christopher D. Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven J. Bethard, and David McClosky. 2014 · 2014
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Semeval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment
Semi-Supervised Classification with Graph Convolutional Networks
Thomas N. Kipf and Max Welling. 2017 · 2017
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Self-Normalizing Neural Networks
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, and Sepp Hochreiter. 2017 · 2017
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Semeval-2017 Task 4: Sentiment Analysis in Twitter
Sara Rosenthal, Noura Farra, and Preslav Nakov. 2017 · 2017
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Semeval-2018 Task 1: Affect in Tweets
Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko. 2018 · 2018
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Deep Contextualized Word Representations
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Attentive Gated Lexicon Reader with Contrastive Contextual Co-attention for Sentiment Classification
Yi Tay, Anh Tuan Luu, Siu Cheung Hui, and Jian Su. 2018 · 2018
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Marco Marelli, Luisa Bentivogli, Marco Baroni, Raffaella Bernardi, Stefano Menini, and Roberto Zamparelli. 2014 · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Multi-timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents
Pengfei Liu, Xipeng Qiu, Xinchi Chen, Shiyu Wu, and Xuanjing Huang. 2015 · 2015
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Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai, Richard Socher, and Christopher D. Manning. 2015 · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016 · 2016
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DAG-Structured Long Short-Term Memory for Semantic Compositionality
Xiaodan Zhu, Parinaz Sobhani, and Hongyu Guo. 2016 · 2016
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A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks and Kevin Gimpel. 2017 · 2017
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Semeval-2019 Task 3: Emocontext Contextual Emotion Detection in Text
Ankush Chatterjee, Kedhar Nath Narahari, Meghana Joshi, and Puneet Agrawal. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Modeling Semantic Compositionality with Sememe knowledge
Fanchao Qi, Junjie Huang, Chenghao Yang, Zhiyuan Liu, Xiao Chen, Qun Liu, and Maosong Sun. 2019 · 2019
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Tree Transformer: Integrating Tree Structures into Self-Attention
Yaushian Wang, Hung-Yi Lee, and Yun-Nung Chen. 2019 · 2019
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SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2020 · 2020
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