GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis
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Abstract (arXiv)
We present GERestaurant, a novel dataset consisting of 3,078 German language restaurant reviews manually annotated for Aspect-Based Sentiment Analysis (ABSA). All reviews were collected from Tripadvisor, covering a diverse selection of restaurants, including regional and international cuisine with various culinary styles. The annotations encompass both implicit and explicit aspects, including all aspect terms, their corresponding aspect categories, and the sentiments expressed towards them. Furthermore, we provide baseline scores for the four ABSA tasks Aspect Category Detection, Aspect Category Sentiment Analysis, End-to-End ABSA and Target Aspect Sentiment Detection as a reference point for future advances. The dataset fills a gap in German language resources and facilitates exploration of ABSA in the restaurant domain.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 8 of its 27 references that are in the map. First posted on arXiv 15 Aug 2024.
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References · 8
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2023Sentiment Analysis in the Era of Large Language Models: A Reality Checkcited by 268
- 2020German's Next Language Modelcited by 144
- 2019Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentencecited by 122
- 2021Aspect Sentiment Quad Prediction as Paraphrase Generationcited by 100
- 2019Exploiting BERT for End-to-End Aspect-based Sentiment Analysiscited by 57
- 2016SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoodscited by 32
- 2021Re-Evaluating GermEval17 Using German Pre-Trained Language Modelscited by 2
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