mlsanityData to 7 Oct 2026

Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models

arXiv 2402.15289 ↗First posted 23 Feb 2024cs.CL cs.LGcited by 2

On the map: Diffusion models → Discrete and text diffusion

Abstract (arXiv)

Aspect-Based Sentiment Analysis (ABSA) stands as a crucial task in predicting the sentiment polarity associated with identified aspects within text. However, a notable challenge in ABSA lies in precisely determining the aspects' boundaries (start and end indices), especially for long ones, due to users' colloquial expressions. We propose DiffusionABSA, a novel diffusion model tailored for ABSA, which extracts the aspects progressively step by step. Particularly, DiffusionABSA gradually adds noise to the aspect terms in the training process, subsequently learning a denoising process that progressively restores these terms in a reverse manner. To estimate the boundaries, we design a denoising neural network enhanced by a syntax-aware temporal attention mechanism to chronologically capture the interplay between aspects and surrounding text. Empirical evaluations conducted on eight benchmark datasets underscore the compelling advantages offered by DiffusionABSA when compared against robust baseline models. Our code is publicly available at https://github.com/Qlb6x/DiffusionABSA.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Placed in Discrete and text diffusion, one of 14 directions in Diffusion models. Builds on 23 of its 41 references that are in the map. First posted on arXiv 23 Feb 2024.

Builds on

23 of 41 references.

Closest ancestors · 4

Same direction, newest first

  1. 2023Diffusion Models in NLP: A Survey14 Mar
  2. 2022DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models28 Nov
  3. 2022DiffusER: Discrete Diffusion via Edit-based Reconstruction30 Oct
  4. 2021Zero-Shot Translation using Diffusion Models2 Nov

Other references · 19

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2020Language Models are Few-Shot Learnerscited by 32,199
  4. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  5. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  6. 2020Denoising Diffusion Implicit Modelscited by 9,655
  7. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,005
  8. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  9. 2017FiLM: Visual Reasoning with a General Conditioning Layercited by 2,286
  10. 2022Diffusion-LM Improves Controllable Text Generationcited by 1,006
  11. 2019Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysiscited by 123
  12. 2021A Unified Generative Framework for Aspect-Based Sentiment Analysiscited by 97
7 more
  1. 2020Position-Aware Tagging for Aspect Sentiment Triplet Extractioncited by 90
  2. 2021A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysiscited by 61
  3. 2019Exploiting BERT for End-to-End Aspect-based Sentiment Analysiscited by 57
  4. 2018A Unified Model for Opinion Target Extraction and Target Sentiment Predictioncited by 56
  5. 2019Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classificationcited by 50
  6. 2023An Empirical Study on Information Extraction using Large Language Modelscited by 46
  7. 2020Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generationcited by 27

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025A Survey on Diffusion Language Modelscited by 75
  2. 2026From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learningcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis
  2. 2023On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training
  3. 2026Large-Scale Aspect-Based Sentiment Analysis with Reasoning-Infused LLMs
  4. 2024Enhancing Long-Range Dependency with State Space Model and Kolmogorov-Arnold Networks for Aspect-Based Sentiment Analysis
  5. 2024DS2-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis
  6. 2025From Annotation to Adaptation: Metrics, Synthetic Data, and Aspect Extraction for Aspect-Based Sentiment Analysis with Large Language Models
  7. 2024Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models
  8. 2026Explainable Multimodal Aspect-Based Sentiment Analysis with Dependency-guided Large Language Model