mlsanityData to 7 Oct 2026

Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network

arXiv 2108.02352 ↗First posted 5 Aug 2021cs.CL cs.AIcited by 11

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Abstract (arXiv)

Aspect-level sentiment classification (ASC) aims to predict the fine-grained sentiment polarity towards a given aspect mentioned in a review. Despite recent advances in ASC, enabling machines to preciously infer aspect sentiments is still challenging. This paper tackles two challenges in ASC: (1) due to lack of aspect knowledge, aspect representation derived in prior works is inadequate to represent aspect's exact meaning and property information; (2) prior works only capture either local syntactic information or global relational information, thus missing either one of them leads to insufficient syntactic information. To tackle these challenges, we propose a novel ASC model which not only end-to-end embeds and leverages aspect knowledge but also marries the two kinds of syntactic information and lets them compensate for each other. Our model includes three key components: (1) a knowledge-aware gated recurrent memory network recurrently integrates dynamically summarized aspect knowledge; (2) a dual syntax graph network combines both kinds of syntactic information to comprehensively capture sufficient syntactic information; (3) a knowledge integrating gate re-enhances the final representation with further needed aspect knowledge; (4) an aspect-to-context attention mechanism aggregates the aspect-related semantics from all hidden states into the final representation. Experimental results on several benchmark datasets demonstrate the effectiveness of our model, which overpass previous state-of-the-art models by large margins in terms of both Accuracy and Macro-F1.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 26 of its 55 references that are in the map. First posted on arXiv 5 Aug 2021.

Builds on

26 of 55 references.

References · 26

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14 more
  1. 2015Effective LSTMs for Target-Dependent Sentiment Classificationcited by 82
  2. 2016Aspect Level Sentiment Classification with Deep Memory Networkcited by 82
  3. 2018Aspect Based Sentiment Analysis with Gated Convolutional Networkscited by 65
  4. 2019Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networkscited by 62
  5. 2018Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answeringcited by 51
  6. 2018Light Gated Recurrent Units for Speech Recognitioncited by 48
  7. 2019Attentional Encoder Network for Targeted Sentiment Classificationcited by 48
  8. 2019Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networkscited by 39
  9. 2013NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweetscited by 33
  10. 2020DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classificationcited by 28
  11. 2019Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classificationcited by 22
  12. 2018Exploiting Document Knowledge for Aspect-level Sentiment Classificationcited by 19
  13. 2019Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysiscited by 16
  14. 2019Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysiscited by 9

Built on by

Cited by year

Citing papers per year: 2021: 1; 2022: 4; 2023: 4; 2024: 2.

11 papers.

  1. 2022Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphscited by 14
  2. 2022Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Fillingcited by 10
  3. 2022DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classificationcited by 8
  4. 2023Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understandingcited by 7
  5. 2022Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruningcited by 5
  6. 2021AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanationscited by 3
  7. 2023Co-evolving Graph Reasoning Network for Emotion-Cause Pair Extractioncited by 3
  8. 2024Aspect-Based Sentiment Analysis Techniques: A Comparative Studycited by 3
  9. 2023Co-guiding for Multi-intent Spoken Language Understandingcited by 2
  10. 2024Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviewscited by 2
  11. 2023Exploiting Contextual Target Attributes for Target Sentiment Classificationcited by 0