Aspect Sentiment Triplet Extraction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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.

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

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

29 shown of 29 papers with code (52 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.

• Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis
  5 Nov 2019 6 repositories listed
  In this paper, we introduce a new subtask under ABSA, named aspect sentiment triplet extraction (ASTE).
• Position-Aware Tagging for Aspect Sentiment Triplet Extraction
  6 Oct 2020 4 repositories listed
  Our observation is that the three elements within a triplet are highly related to each other, and this motivates us to build a joint model to extract such triplets using a sequence tagging approach.
• A Unified Generative Framework for Aspect-Based Sentiment Analysis
  8 Jun 2021 3 repositories listed
  Aspect-based Sentiment Analysis (ABSA) aims to identify the aspect terms, their corresponding sentiment polarities, and the opinion terms.
• Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction
  9 Oct 2020 3 repositories listed
  To validate the feasibility and compatibility of GTS, we implement three different GTS models respectively based on CNN, BiLSTM, and BERT, and conduct experiments on the aspect-oriented opinion pair extraction and…
• A Multi-task Learning Framework for Opinion Triplet Extraction
  4 Oct 2020 3 repositories listed
  The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches are mainly based on either detecting aspect terms and their corresponding sentiment polarities, or co-extracting aspect and opinion terms.
• Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
  26 Jul 2021 2 repositories listed
  Aspect Sentiment Triplet Extraction (ASTE) is the most recent subtask of ABSA which outputs triplets of an aspect target, its associated sentiment, and the corresponding opinion term.
• Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
  13 Mar 2021 2 repositories listed
  Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review sentences along with their corresponding opinion expressions and sentiments, is an emerging task in fine-grained opinion mining.
• ASTE Transformer Modelling Dependencies in Aspect-Sentiment Triplet Extraction
  23 Sep 2024 1 repository listed
  Aspect-Sentiment Triplet Extraction (ASTE) is a recently proposed task of aspect-based sentiment analysis that consists in extracting (aspect phrase, opinion phrase, sentiment polarity) triples from a given sentence.
• Deep Content Understanding Toward Entity and Aspect Target Sentiment Analysis on Foundation Models
  4 Jul 2024 1 repository listed
  Introducing Entity-Aspect Sentiment Triplet Extraction (EASTE), a novel Aspect-Based Sentiment Analysis (ABSA) task which extends Target-Aspect-Sentiment Detection (TASD) by separating aspect categories (e.
• MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction
  17 Jun 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  In this study, we, for the first time, re-evaluate the redundancy in tagging schemes and the internal enhancement in pretrained representations.
• E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction
  10 May 2024 1 repository listed
  Generative approaches have significantly influenced Aspect-Based Sentiment Analysis (ABSA), garnering considerable attention.
• Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction
  18 Dec 2023 1 repository listed
  Aspect Sentiment Triplet Extraction (ASTE) is an emerging task to extract a given sentence's triplets, which consist of aspects, opinions, and sentiments.
• Indo LEGO-ABSA: A Multitask Generative Aspect Based Sentiment Analysis for Indonesian Language
  3 Nov 2023 1 repository listed
  Therefore, this research aims to implement the multitask learning and prompting approach in aspect-based sentiment analysis for Bahasa Indonesia using generative pre-trained language models.
• CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction
  24 Oct 2023 1 repository listed
  We then (pre)train an encoder-decoder model by applying contrastive learning on the decoder-generated aspect-aware sentiment representations of the masked terms.
• A semantically enhanced dual encoder for aspect sentiment triplet extraction
  14 Jun 2023 1 repository listed
  Aspect sentiment triplet extraction (ASTE) is a crucial subtask of aspect-based sentiment analysis (ABSA) that aims to comprehensively identify sentiment triplets.
• Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction
  27 May 2023 1 repository listed
  In this paper, we introduce a new dataset, named DMASTE, which is manually annotated to better fit real-world scenarios by providing more diverse and realistic reviews for the task.
• MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
  22 May 2023 1 repository listed
  Generative methods greatly promote aspect-based sentiment analysis via generating a sequence of sentiment elements in a specified format.
• Improving Span-based Aspect Sentiment Triplet Extraction with Abundant Syntax Knowledge
  23 Dec 2022 1 repository listed
  Aspect sentiment triplet extraction is a subtask of aspect based sentiment analysis, which has attracted considerable attention in recent years.
• A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction
  18 Dec 2022 1 repository listed
  Aspect sentiment triplet extraction (ASTE) aims to extract aspect term, sentiment and opinion term triplets from sentences.
• STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
  28 Nov 2022 1 repository listed
  Hence, we propose a novel approach, Span TAgging and Greedy infErence (STAGE), to extract sentiment triplets in span-level, where each span may consist of multiple words and play different roles simultaneously.
• Structural Bias for Aspect Sentiment Triplet Extraction
  2 Sep 2022 1 repository listed
  Thus, a natural question arises: Is structural bias still a necessity in the context of PLMs?
• Inheriting the Wisdom of Predecessors: A Multiplex Cascade Framework for Unified Aspect-based Sentiment Analysis
  30 Jul 2022 1 repository listed
  So far, aspect-based sentiment analysis (ABSA) has involved with total seven subtasks, in which, however the interactions among them have been left unexplored sufficiently.
• A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction
  1 Jul 2022 1 repository listed
  Aspect sentiment triplet extraction (ASTE) is a challenging subtask in aspect-based sentiment analysis.
• Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
  1 May 2022 1 repository listed
  Specifically, we first define ten types of relations for ASTE task, and then adopt a biaffine attention module to embed these relations as an adjacent tensor between words in a sentence.
• A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction
  27 Apr 2022 1 repository listed
  Aspect Sentiment Triplet Extraction (ASTE) is a new fine-grained sentiment analysis task that aims to extract triplets of aspect terms, sentiments, and opinion terms from review sentences.
• Aspect-Sentiment-Multiple-Opinion Triplet Extraction
  14 Oct 2021 1 repository listed
  Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect term (aspect), sentiment and opinion term (opinion) triplets from sentences and can tell a complete story, i.
• PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction
  10 Oct 2021 1 repository listed
  Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion triplets, consisting of an opinion target or aspect, its associated sentiment, and the corresponding opinion term/span explaining the rationale…
• Aspect Sentiment Triplet Extraction Using Reinforcement Learning
  13 Aug 2021 1 repository listed
  We first focus on sentiments expressed in a sentence, then identify the target aspect and opinion terms for that sentiment.
• Towards Generative Aspect-Based Sentiment Analysis
  1 Aug 2021 1 repository listed
  Aspect-based sentiment analysis (ABSA) has received increasing attention recently.

Syntology lines on 1 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.