mlsanityData to 14 Oct 2026

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

arXiv 1805.04601 ↗First posted 11 May 2018cs.CLcited by 42

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Abstract (arXiv)

One key task of fine-grained sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. This paper focuses on supervised aspect extraction using deep learning. Unlike 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 domain-specific embeddings. Without using any additional supervision, this model achieves surprisingly good results, outperforming state-of-the-art sophisticated existing methods. To our knowledge, this paper is the first to report such double embeddings based CNN model for aspect extraction and achieve very good results.

Key facts. Cited by 42 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 May 2018.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 17; 2022: 10; 2023: 9; 2024: 4; 2025: 1; 2026: 1.

42 papers.

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  1. 2021Aspect Sentiment Quad Prediction as Paraphrase Generationcited by 100
  2. 2021A Unified Generative Framework for Aspect-Based Sentiment Analysiscited by 97
  3. 2021A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysiscited by 62
  4. 2022A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challengescited by 61
  5. 2021Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extractioncited by 40
  6. 2021Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledgecited by 31
  7. 2021PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extractioncited by 18
  8. 2021Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extractioncited by 17
  9. 2021Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Modelcited by 13
  10. 2023Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendationscited by 13
  11. 2022A Span-level Bidirectional Network for Aspect Sentiment Triplet Extractioncited by 12
  12. 2023Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Predictioncited by 11
30 more
  1. 2022Hierarchical Multi-Label Classification of Scientific Documentscited by 10
  2. 2022STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extractioncited by 8
  3. 2022A Generative Language Model for Few-shot Aspect-Based Sentiment Analysiscited by 7
  4. 2021A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Taskcited by 6
  5. 2021Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysiscited by 6
  6. 2024Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysiscited by 6
  7. 2021Exploring Conditional Text Generation for Aspect-Based Sentiment Analysiscited by 5
  8. 2022Zero-Shot Aspect-Based Sentiment Analysiscited by 5
  9. 2022PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysiscited by 5
  10. 2024Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Predictioncited by 4
  11. 2022AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysiscited by 2
  12. 2023Syntax-aware Hybrid prompt model for Few-shot multi-modal sentiment analysiscited by 2
  13. 2023ATESA-BAERT: A Heterogeneous Ensemble Learning Model for Aspect-Based Sentiment Analysiscited by 2
  14. 2024Dual Encoder: Exploiting the Potential of Syntactic and Semantic for Aspect Sentiment Triplet Extractioncited by 2
  15. 2021Traffic Event Detection as a Slot Filling Problemcited by 1
  16. 2021Span Detection for Aspect-Based Sentiment Analysis in Vietnamesecited by 1
  17. 2022Multi-Domain Targeted Sentiment Analysiscited by 1
  18. 2022CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extractioncited by 1
  19. 2023Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extractioncited by 1
  20. 2021Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identificationcited by 0
  21. 2021Extracting all Aspect-polarity Pairs Jointly in a Text with Relation Extraction Approachcited by 0
  22. 2021Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extractioncited by 0
  23. 2021Aspect-Sentiment-Multiple-Opinion Triplet Extractioncited by 0
  24. 2023Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysiscited by 0
  25. 2023Cone: Unsupervised Contrastive Opinion Extractioncited by 0
  26. 2023Opinion mining using Double Channel CNN for Recommender Systemcited by 0
  27. 2023Syntax-Informed Interactive Model for Comprehensive Aspect-Based Sentiment Analysiscited by 0
  28. 2024KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus Filteringcited by 0
  29. 2025An Aspect Extraction Framework using Different Embedding Types, Learning Models, and Dependency Structurecited by 0
  30. 2026Efficient Aspect Term Extraction using Spiking Neural Networkcited by 0