Browse State-of-the-Art › Opinion Summarization
Opinion Summarization
36 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
The task of generating a summary of user opinions from reviews (and question-answers, etc)
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 36 papers with code (72 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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6 Nov 2019 3 repositories listedAt test time, when generating summaries, we force the novelty to be minimal, and produce a text reflecting consensus opinions.
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8 Dec 2020 2 repositories listedWe present the Quantized Transformer (QT), an unsupervised system for extractive opinion summarization.
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27 Aug 2018 2 repositories listed Syntology ran 0 of 6 samples · 6 unverifiedWe present a neural framework for opinion summarization from online product reviews which is knowledge-lean and only requires light supervision (e.
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2 Apr 2024 1 repository listedTo address this issue and make the summarizer express both sides of opinions, we introduce the concept of polarity calibration, which aims to align the polarity of output summary with that of input text.
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30 Mar 2024 1 repository listedOpinion summarization aims to generate concise summaries that present popular opinions of a large group of reviews.
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27 Mar 2024 1 repository listedThis paper introduces ReflectSumm, a novel summarization dataset specifically designed for summarizing students' reflective writing.
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1 Mar 2024 1 repository listedWe show that HIRO learns an encoding space that is more semantically structured than prior work, and generates summaries that are more representative of the opinions in the input reviews.
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23 Feb 2024 1 repository listedWhile this strategy has proven effective, the training methodology requires a lot of human preference annotation (usually in the order of tens of thousands) to train φ.
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18 Feb 2024 1 repository listed Syntology ran 5 of 5 samples · 0 unverifiedEvaluation of opinion summaries using conventional reference-based metrics rarely provides a holistic evaluation and has been shown to have a relatively low correlation with human judgments.
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16 Jan 2024 1 repository listedIn this work, we study the task of extractive opinion summarization in an incremental setting, where the underlying review set evolves over time.
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27 Oct 2023 1 repository listedOpinion summarization sets itself apart from other types of summarization tasks due to its distinctive focus on aspects and sentiments.
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20 Oct 2023 1 repository listedFurthermore, our in-depth analysis verifies that the advanced selection of review subsets and the two-stage training scheme are vital to boosting the summarization performance.
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6 Jun 2023 1 repository listed Syntology ran 0 of 9 samples · 9 unverifiedKey Point Analysis (KPA) has been recently proposed for deriving fine-grained insights from collections of textual comments.
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24 May 2023 1 repository listedTo address this gap, we propose the task of scientific opinion summarization, where research paper reviews are synthesized into meta-reviews.
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19 May 2023 1 repository listedWe 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…
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29 Nov 2022 1 repository listedLarge language models have shown impressive performance across a wide variety of tasks, including text summarization.
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16 Nov 2022 1 repository listedTo tackle the difficulty in collecting customer and professional review pairs, we develop a non-parallel training framework, Noisy Pairing and Partial Supervision (NAPA), which trains a stylized opinion summarization…
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3 Jun 2022 1 repository listedIn this tutorial, we present various aspects of opinion summarization that are useful for researchers and practitioners.
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4 May 2022 1 repository listedIn the same vein, we pre-train the adapters in a query-based manner on customer reviews and then fine-tune them on annotated datasets.
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15 Mar 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedA semantic unit is supposed to capture an abstract semantic concept.
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1 Nov 2021 1 repository listedKey Point Analysis (KPA) is one of the most essential tasks in building an Opinion Summarization system, which is capable of generating key points for a collection of arguments toward a particular topic.
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14 Oct 2021 1 repository listedOpinion summarization focuses on generating summaries that reflect popular subjective information expressed in multiple online reviews.
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9 Sep 2021 1 repository listedOpinion summarization has been traditionally approached with unsupervised, weakly-supervised and few-shot learning techniques.
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7 Sep 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedRecent work on opinion summarization produces general summaries based on a set of input reviews and the popularity of opinions expressed in them.
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1 Sep 2021 1 repository listedThe results show that a Machine Learning-based method produced summaries of higher quality, outperforming other literature techniques on manually constructed semantic graphs.
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15 Jun 2021 1 repository listedThis paper presents a novel unsupervised abstractive summarization method for opinionated texts.
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27 May 2021 1 repository listedTo use the abundant information contained in non-text data, we propose a self-supervised multimodal opinion summarization framework called MultimodalSum.
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3 Apr 2021 1 repository listedWe found that text autoencoders tend to generate overly generic summaries from simply averaged latent vectors due to an unexpected L₂-norm shrinkage in the aggregated latent vectors, which we refer to as summary vector…
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14 Dec 2020 1 repository listedThe recent success of deep learning techniques for abstractive summarization is predicated on the availability of large-scale datasets.
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1 Jul 2020 1 repository listedThe opinion entity extraction unit and the relation detection unit are developed as two channels to extract opinion entities and relations simultaneously.
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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