Opinion Summarization
35 papers with code • 0 benchmarks • 0 datasets
The task of generating a summary of user opinions from reviews (and question-answers, etc)
Benchmarks
These leaderboards are used to track progress in Opinion Summarization
Most implemented papers
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction
chenshaowei57/SDRN
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ACL 2020
The opinion entity extraction unit and the relation detection unit are developed as two channels to extract opinion entities and relations simultaneously.
Unsupervised Opinion Summarization with Content Planning
The recent success of deep learning techniques for abstractive summarization is predicated on the availability of large-scale datasets.
Convex Aggregation for Opinion Summarization
megagonlabs/coop
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Findings (EMNLP) 2021
We found that text autoencoders tend to generate overly generic summaries from simply averaged latent vectors due to an unexpected $L_2$-norm shrinkage in the aggregated latent vectors, which we refer to as summary vector degeneration.
Self-Supervised Multimodal Opinion Summarization
nc-ai/MultimodalSum
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ACL 2021
To use the abundant information contained in non-text data, we propose a self-supervised multimodal opinion summarization framework called MultimodalSum.
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance
This paper presents a novel unsupervised abstractive summarization method for opinionated texts.
Aspect-Controllable Opinion Summarization
rktamplayo/acesum
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EMNLP 2021
Recent work on opinion summarization produces general summaries based on a set of input reviews and the popularity of opinions expressed in them.
Learning Opinion Summarizers by Selecting Informative Reviews
abrazinskas/selsum
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EMNLP 2021
Opinion summarization has been traditionally approached with unsupervised, weakly-supervised and few-shot learning techniques.
Comparative Opinion Summarization via Collaborative Decoding
megagonlabs/cocosum
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Findings (ACL) 2022
Opinion summarization focuses on generating summaries that reflect popular subjective information expressed in multiple online reviews.
Unsupervised Extractive Opinion Summarization Using Sparse Coding
A semantic unit is supposed to capture an abstract semantic concept.
Efficient Few-Shot Fine-Tuning for Opinion Summarization
amazon-research/adasum
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Findings (NAACL) 2022
In the same vein, we pre-train the adapters in a query-based manner on customer reviews and then fine-tune them on annotated datasets.
