mlsanityData to 7 Oct 2026

ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection for ABSA

arXiv 2405.20274 ↗First posted 30 May 2024cs.CL cs.AI cs.LGcited by 1

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Abstract (arXiv)

Aspect-Based Sentiment Analysis (ABSA) has experienced tremendous expansion and diversity due to various shared tasks spanning several languages and fields and organized via SemEval workshops and Germeval. Nonetheless, a few shortcomings still need to be addressed, such as the lack of low-resource language evaluations and the emphasis on sentence-level analysis. To thoroughly assess ABSA techniques in the context of complete reviews, this research presents a novel task, Review-Level Opinion Aspect Sentiment Target (ROAST). ROAST seeks to close the gap between sentence-level and text-level ABSA by identifying every ABSA constituent at the review level. We extend the available datasets to enable ROAST, addressing the drawbacks noted in previous research by incorporating low-resource languages, numerous languages, and a variety of topics. Through this effort, ABSA research will be able to cover more ground and get a deeper comprehension of the task and its practical application in a variety of languages and domains (https://github.com/RiTUAL-UH/ROAST-ABSA).

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 10 of its 25 references that are in the map. First posted on arXiv 30 May 2024.

Builds on

10 of 25 references.

References · 10

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
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  5. 2019Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysiscited by 123
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  8. 2022Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentationcited by 29
  9. 2022Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structurecited by 13
  10. 2021Exploring Conditional Text Generation for Aspect-Based Sentiment Analysiscited by 5

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Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysiscited by 9