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 7 months ago

farinamhz commented 7 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 7 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.