Browse State-of-the-Art › Aspect Extraction
Aspect Extraction
34 papers with code · 6 benchmarks · 5 datasets archive 2025-07-28
Aspect extraction is the task of identifying and extracting terms relevant for opinion mining and sentiment analysis, for example terms for product attributes or features.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| SemEval-2014 Task-4 (6 rows) | InstructABSA | InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis | code | — | Compare |
| SemEval 2014 Task 4 Sub Task 1 (2 rows) | InstructABSA | InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis | code | — | Compare |
| SemEval 2015 Task 12 (2 rows) | ACE | Automated Concatenation of Embeddings for Structured Prediction | code | — | Compare |
| SemEval 2015 Task 12 (1 row) | DE-CNN | Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction | code | Syntology ran 0 of 1 samples · 1 unverified | Compare |
| SemEval 2016 Task 5 Sub Task 1 Slot 2 (1 row) | DE-CNN | Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction | code | Syntology ran 0 of 1 samples · 1 unverified | Compare |
| YASO - YELP (1 row) | RACL - Laptops | YASO: A Targeted Sentiment Analysis Evaluation Dataset for... | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
5 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 34 papers with code (92 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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5 Nov 2019 6 repositories listedIn this paper, we introduce a new subtask under ABSA, named aspect sentiment triplet extraction (ASTE).
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30 Jan 2020 4 repositories listedIn this work, we apply adversarial training, which was put forward by Goodfellow et al.
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1 Jul 2017 3 repositories listedUnlike topic models which typically assume independently generated words, word embedding models encourage words that appear in similar contexts to be located close to each other in the embedding space.
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29 Dec 2020 2 repositories listedCurrent TSA evaluation in a cross-domain setup is restricted to the small set of review domains available in existing datasets.
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22 Oct 2020 2 repositories listed Syntology ran 5 of 11 samples · 6 unverifiedAspect-Based Sentiment Analysis (ABSA) studies the consumer opinion on the market products.
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10 Oct 2020 2 repositories listedPretrained contextualized embeddings are powerful word representations for structured prediction tasks.
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14 Apr 2020 2 repositories listedTarget-Based Sentiment Analysis aims to detect the opinion aspects (aspect extraction) and the sentiment polarities (sentiment detection) towards them.
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1 Jul 2019 2 repositories listedThere are a lot of noise texts surrounding a person in modern life.
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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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11 May 2018 2 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedUnlike other highly sophisticated supervised deep learning models, this paper proposes a novel and yet simple CNN model employing two types of pre-trained embeddings for aspect extraction: general-purpose embeddings and…
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5 Mar 2025 1 repository listedThe experiments conducted on two Turkish datasets showed that the proposed models mostly outperform the studies that use the same datasets, and incorporating tree positional encoding increases the performance of the…
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8 Nov 2023 1 repository listedAspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence.
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6 Oct 2023 1 repository listedBeing able to extract from scientific papers their main points, key insights, and other important information, referred to here as aspects, might facilitate the process of conducting a scientific literature review.
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26 Aug 2023 1 repository listedIn this work, we widely study the capabilities of the ChatGPT models, namely GPT-4 and GPT-3.
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16 Feb 2023 1 repository listedWe introduce InstructABSA, an instruction learning paradigm for Aspect-Based Sentiment Analysis (ABSA) subtasks.
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18 Oct 2022 1 repository listedThe extraction of aspect terms is a critical step in fine-grained sentiment analysis of text.
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24 Aug 2022 1 repository listedRecently, some span-based methods have achieved encouraging performances for joint aspect-sentiment analysis, which first extract aspects (aspect extraction) by detecting aspect boundaries and then classify the…
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8 Jul 2022 1 repository listedTen university professors from diverse departments serve as evaluators of the system and all agree that SETSum helps them interpret SET results more efficiently; and 6 out of 10 instructors prefer our system over the…
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21 Jun 2022 1 repository listedAutomatic product description generation for e-commerce has witnessed significant advancement in the past decade.
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16 Dec 2021 1 repository listedThere has been significant progress in utilizing weakly supervised approaches, which require only a small set of seed words for training aspect classifiers.
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16 Nov 2021 1 repository listedRecent studies show integrating language resources which consist of lexical resources, syntactic resources and semantic resources can improve the performance of natural language processing (NLP) tasks.
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1 Nov 2021 1 repository listedWe name this scheme DILBERT: Domain Invariant Learning with BERT, and customize it for aspect extraction in the unsupervised domain adaptation setting.
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1 Sep 2021 1 repository listedWe name this scheme DILBERT: Domain Invariant Learning with BERT, and customize it for aspect extraction in the unsupervised domain adaptation setting.
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1 Sep 2021 1 repository listedLater, we utilize the hypothesis to demonstrate the efficacy of the pruned state-of-the-art model compared to the over-parameterized state-of-the-art model under two settings, the first considering the baselines for the…
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1 Dec 2020 1 repository listedEnd-to-end aspect-based sentiment analysis (EASA) consists of two sub-tasks: the first extracts the aspect terms in a sentence and the second predicts the sentiment polarities for such terms.
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25 Aug 2020 1 repository listedIn the context of sentiment analysis, there has been growing interest in performing a finer granularity analysis focusing on the specific aspects of the entities being evaluated.
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1 Jul 2020 1 repository listedThis increases the accuracy of the aspect sentiment classifier.
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8 Apr 2020 1 repository listedMultilingual sequence labeling is a task of predicting label sequences using a single unified model for multiple languages.
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9 Dec 2019 1 repository listedIn this article, we address the novel task of multilingual aspect clustering, which aims at grouping semantically related aspects extracted from reviews written in several languages.
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3 Sep 2019 1 repository listedWe proposed a~new accurate aspect extraction method that makes use of both word and character-based embeddings.
Syntology lines on 3 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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