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Opinion Summarization

The task of generating a summary of user opinions from reviews (and question-answers, etc)

Papers

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Showing 51–72 of 72 papers

TitleStatusHype
Self-Supervised and Controlled Multi-Document Opinion Summarization—0
Aspect-Based Opinion Summarization with Argumentation Schemes—0
Analyzing Coreference and Bridging in Product Reviews—0
Fine-Grained Opinion Summarization with Minimal Supervision—0
AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization—0
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction—0
SEOpinion: Summarization and Exploration Opinion of E-Commerce Websites—0
Improving Opinion Summarization by Assessing Sentence Importance in On-line Reviews—0
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization—0
Informative and Controllable Opinion Summarization—0
A Multi-Granularity Opinion Summarization Method—0
Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization—0
Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM—0
Aspect-based Opinion Summarization with Convolutional Neural Networks—0
LFOSum: Summarizing Long-form Opinions with Large Language Models—0
Comparative Opinion Summarization via Collaborative Decoding—0
Measuring the Effect of Discourse Relations on Blog Summarization—0
Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction—0
Unsupervised Opinion Summarization Using Approximate Geodesics—0
Not All Reviews Are Equal: Towards Addressing Reviewer Biases for Opinion Summarization—0
Thesis: Document Summarization with applications to Keyword extraction and Image Retrieval—0
On Improving Informativity and Grammaticality for Multi-Sentence Compression—0
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