Open Aspect Target Sentiment Classification with Natural Language Prompts

Exploiting cloze questions for few-shot text classification and natural language inference

Original

Timo Schick and Hinrich Schütze. 2020 · 2001

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Mining and summarizing customer reviews

Minqing Hu and Bing Liu. 2004 · 2004

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SemEval-2014 task 4: Aspect based sentiment analysis

Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Harris Papageorgiou, Ion Androutsopoulos, and Suresh Manandhar. 2014 · 2014

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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019

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Unsupervised question answering by cloze translation

Patrick Lewis, Ludovic Denoyer, and Sebastian Riedel. 2019 · 2019

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Justifying recommendations using distantly-labeled reviews and fine-grained aspects

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Utilizing BERT for aspect-based sentiment analysis via constructing auxiliary sentence

Chi Sun, Luyao Huang, and Xipeng Qiu. 2019 · 2019

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Adapt or get left behind: Domain adaptation through BERT language model finetuning for aspect-target sentiment classification

Alexander Rietzler, Sebastian Stabinger, Paul Opitz, and Stefan Engl. 2020 · 2020

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AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh. 2020 · 2020

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Unsupervised commonsense question answering with self-talk

Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020 · 2020

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Huggingface’s transformers: State-of-the-art natural language processing

Original

Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush. 2020 · 2020

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Making pre-trained language models better few-shot learners