Attributable and Scalable Opinion Summarization

05/19/2023
by   Tom Hosking, et al.
0

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. We are able to generate both abstractive summaries by decoding these frequent encodings, and extractive summaries by selecting the sentences assigned to the same frequent encodings. Our method is attributable, because the model identifies sentences used to generate the summary as part of the summarization process. It scales easily to many hundreds of input reviews, because aggregation is performed in the latent space rather than over long sequences of tokens. We also demonstrate that our appraoch enables a degree of control, generating aspect-specific summaries by restricting the model to parts of the encoding space that correspond to desired aspects (e.g., location or food). Automatic and human evaluation on two datasets from different domains demonstrates that our method generates summaries that are more informative than prior work and better grounded in the input reviews.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/05/2020

OpinionDigest: A Simple Framework for Opinion Summarization

We present OpinionDigest, an abstractive opinion summarization framework...
research
03/21/2023

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization

Opinion summarization provides an important solution for summarizing opi...
research
06/09/2016

Neural Network-Based Abstract Generation for Opinions and Arguments

We study the problem of generating abstractive summaries for opinionated...
research
09/15/2022

Unsupervised Opinion Summarization Using Approximate Geodesics

Opinion summarization is the task of creating summaries capturing popula...
research
06/15/2021

Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance

This paper presents a novel unsupervised abstractive summarization metho...
research
12/08/2020

Extractive Opinion Summarization in Quantized Transformer Spaces

We present the Quantized Transformer (QT), an unsupervised system for ex...
research
09/09/2021

Learning Opinion Summarizers by Selecting Informative Reviews

Opinion summarization has been traditionally approached with unsupervise...

Please sign up or login with your details

Forgot password? Click here to reset