mlsanityData to 14 Oct 2026

Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis

arXiv 2110.02334 ↗First posted 5 Oct 2021cs.CL cs.AI cs.LGcited by 5

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Abstract (arXiv)

Aspect-based sentiment analysis (ABSA) is an NLP task that entails processing user-generated reviews to determine (i) the target being evaluated, (ii) the aspect category to which it belongs, and (iii) the sentiment expressed towards the target and aspect pair. In this article, we propose transforming ABSA into an abstract summary-like conditional text generation task that uses targets, aspects, and polarities to generate auxiliary statements. To demonstrate the efficacy of our task formulation and a proposed system, we fine-tune a pre-trained model for conditional text generation tasks to get new state-of-the-art results on a few restaurant domains and urban neighborhoods domain benchmark datasets.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 21 of its 38 references that are in the map. First posted on arXiv 5 Oct 2021.

Builds on

21 of 38 references.

References · 21

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  4. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  5. 2015A Neural Attention Model for Abstractive Sentence Summarizationcited by 396
  6. 2019BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysiscited by 176
  7. 2019Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentencecited by 122
  8. 2018Aspect Based Sentiment Analysis with Gated Convolutional Networkscited by 65
  9. 2018A Unified Model for Opinion Target Extraction and Target Sentiment Predictioncited by 56
  10. 2019Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classificationcited by 50
  11. 2018Double Embeddings and CNN-based Sequence Labeling for Aspect Extractioncited by 42
  12. 2018Aspect Term Extraction with History Attention and Selective Transformationcited by 37
9 more
  1. 2018CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysiscited by 21
  2. 2018Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networkscited by 19
  3. 2020Context-Guided BERT for Targeted Aspect-Based Sentiment Analysiscited by 18
  4. 2019DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extractioncited by 17
  5. 2019Aspect Category Detection via Topic-Attention Networkcited by 13
  6. 2016Unsupervised Word and Dependency Path Embeddings for Aspect Term Extractioncited by 11
  7. 2019Context-aware Embedding for Targeted Aspect-based Sentiment Analysiscited by 6
  8. 2018Improving Aspect Term Extraction with Bidirectional Dependency Tree Representationcited by 3
  9. 2018Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-based Sentiment Analysiscited by 2

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 3; 2024: 1.

5 papers.

  1. 2022Survey of Aspect-based Sentiment Analysis Datasetscited by 3
  2. 2023Input-length-shortening and text generation via attention valuescited by 1
  3. 2023Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approachescited by 1
  4. 2024ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection for ABSAcited by 1
  5. 2023OATS: Opinion Aspect Target Sentiment Quadruple Extraction Dataset for Aspect-Based Sentiment Analysiscited by 0