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.
Oct 17, 2021
Feb 27, 2023 · Target-oriented opinion summarization is to profile a target by extracting user opinions from multiple related documents.
Opinion summarization aims to profile a target by extracting opinions from multiple documents. Most existing work approaches the task in a semi-supervised ...
Fine-Grained Opinion Summarization with Minimal Supervision ... Opinion summarization aims to profile a target by extracting opinions from multiple documents.
Oct 17, 2021 · Fine-Grained Opinion Summarization with Minimal Supervision. Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han. University of Illinois ...
Feb 27, 2023 · Target-oriented opinion summarization is to profile a target by extracting user opinions from multiple related documents.
An opinion summarization dataset is introduced that includes a training set of product reviews from six diverse domains and human-annotated development and ...
Opinion summarization of multiple reviews suf- fers from the lack of reference summaries for training. Most previous approaches construct.
Apr 15, 2023 · This extractive aspect-based contrastive summarization task involves constructing a structured summary that compares the choices along relevant aspects.
Fine-Grained Opinion Summarization with Minimal Supervision. Opinion summarization aims to profile a target by extracting opinions fr... 0 Suyu Ge, et al ...