fani-lab / LADy

LADy 💃: A Benchmark Toolkit for Latent Aspect Detection Enriched with Backtranslation Augmentation
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Literature Review on Aspect and Sentiment Extraction #64

Open farinamhz opened 11 months ago

farinamhz commented 11 months ago

I've recently conducted a literature review on Aspect and Sentiment Extraction and discovered several interesting papers on this topic that I'd like to share here. Contributions from others are also appreciated.

farinamhz commented 11 months ago

As proposed by the authors in CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction, current leading methods can be categorized mainly into five distinct groups in which I think generative ones are great for the case of latent aspect detection with no surface form:

  1. Pipeline
  2. Tagging-based
  3. Span-based
  4. Generative
  5. MRC-based

Among generative ones, one group of the methods is based on BERT LM, and the other group is based on T5 LM.

*This paper has been published in EMNLP'23 but has not become available yet, so I provided the link from Arxiv.