• Corpus ID: 239016115

Fine-Grained Opinion Summarization with Minimal Supervision

  title={Fine-Grained Opinion Summarization with Minimal Supervision},
  author={Suyu Ge and Jiaxin Huang and Yu Meng and Sharon Wang and Jiawei Han},
Opinion summarization aims to profile a target by extracting opinions from multiple documents. Most existing work approaches the task in a semi-supervised manner due to the difficulty of obtaining high-quality annotation from thousands of documents. Among them, some uses aspect and sentiment analysis as a proxy for identifying opinions. In this work, we propose a new framework, FineSum, which advances this frontier in three aspects: (1) minimal supervision, where only aspect names and a few… 
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