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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 1–25 of 72 papers

TitleStatusHype
Comparative Opinion Summarization via Collaborative DecodingCode1
Few-Shot Learning for Opinion SummarizationCode1
Unsupervised Opinion Summarization with Noising and DenoisingCode1
Prompted Opinion Summarization with GPT-3.5Code1
Beyond Opinion Mining: Summarizing Opinions of Customer ReviewsCode1
OpinionDigest: A Simple Framework for Opinion SummarizationCode1
Attributable and Scalable Opinion SummarizationCode1
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair ExtractionCode1
Unsupervised Opinion Summarization with Content PlanningCode1
Matching The Statements: A Simple and Accurate Model for Key Point AnalysisCode1
Learning Opinion Summarizers by Selecting Informative ReviewsCode1
Convex Aggregation for Opinion SummarizationCode1
Aspect-Controllable Opinion SummarizationCode1
Self-Supervised Multimodal Opinion SummarizationCode1
Extractive Opinion Summarization in Quantized Transformer SpacesCode1
Distilling Opinions at Scale: Incremental Opinion Summarization using XL-OPSUMM—0
Analyzing Coreference and Bridging in Product Reviews—0
Informative and Controllable Opinion Summarization—0
Aspect-Based Opinion Summarization with Argumentation Schemes—0
AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization—0
Improving Opinion Summarization by Assessing Sentence Importance in On-line Reviews—0
Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization—0
Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction—0
Comparative Opinion Summarization via Collaborative Decoding—0
Aspect-based Opinion Summarization with Convolutional Neural Networks—0
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