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Unsupervised Opinion Summarization

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Benchmarks

Amazon

결과 4개

Yelp

결과 4개

Most implemented

Papers

Automatically Evaluating Opinion Prevalence in Opinion Summarization

2023-07-26 · Christopher Malon

When faced with a large number of product reviews, it is not clear that a human can remember all of them and weight opinions representatively to write a good reference summary. We propose an automatic metric to test the …

Opinion SummarizationUnsupervised Opinion Summarization

Attributable and Scalable Opinion Summarization

2023-05-19 · Tom Hosking, Hao Tang, Mirella Lapata

We propose a method for unsupervised opinion summarization that encodes sentences from customer reviews into a hierarchical discrete latent space, then identifies common opinions based on the frequency of their encodings…

Opinion SummarizationUnsupervised Opinion Summarization

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization

2023-03-21 · Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas 외

Opinion summarization provides an important solution for summarizing opinions expressed among a large number of reviews. However, generating aspect-specific and general summaries is challenging due to the lack of annotat…

Natural Language InferenceOpinion SummarizationUnsupervised Opinion Summarization

Unsupervised Opinion Summarization Using Approximate Geodesics

2022-09-15 · Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed 외

Opinion summarization is the task of creating summaries capturing popular opinions from user reviews. In this paper, we introduce Geodesic Summarizer (GeoSumm), a novel system to perform unsupervised extractive opinion s…

DecoderDictionary LearningOpinion SummarizationRepresentation Learning+1

OrderSum: Reading Order-Aware Unsupervised Opinion Summarization

2021-11-16 · ACL ARR November 2021 11 · Anonymous

Opinion summarization aims to create a concise summary reflecting subjective information conveyed by multiple user reviews about the same product. To avoid the high expense of curating golden summaries for training, many…

Opinion SummarizationUnsupervised Opinion Summarization

Convex Aggregation for Opinion Summarization

2021-04-03 · Findings (EMNLP) 2021 11 · Hayate Iso, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis 외

Recent advances in text autoencoders have significantly improved the quality of the latent space, which enables models to generate grammatical and consistent text from aggregated latent vectors. As a successful applicati…

Opinion SummarizationUnsupervised Opinion Summarization

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