# MultiBooked: A Corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification

arXiv: https://arxiv.org/abs/1803.08614 · HTML: https://mlsanity.com/paper/1803.08614/

## Key facts

- Cited by 17 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Mar 2018.

## Built on by (most cited first, 17 of 17)

- [Structured Sentiment Analysis as Dependency Graph Parsing](https://mlsanity.com/paper/2105.14504/) (2021)
- [Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis](https://mlsanity.com/paper/2203.10796/) (2022)
- [EFSA: Towards Event-Level Financial Sentiment Analysis](https://mlsanity.com/paper/2404.08681/) (2024)
- [Sparse Fuzzy Attention for Structured Sentiment Analysis](https://mlsanity.com/paper/2109.06719/) (2021)
- [Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction](https://mlsanity.com/paper/2305.14434/) (2023)
- [Direct parsing to sentiment graphs](https://mlsanity.com/paper/2203.13209/) (2022)
- [Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction](https://mlsanity.com/paper/2305.17448/) (2023)
- [ETMS@IITKGP at SemEval-2022 Task 10: Structured Sentiment Analysis Using A Generative Approach](https://mlsanity.com/paper/2205.00440/) (2022)
- [Structured Sentiment Analysis as Transition-based Dependency Graph Parsing](https://mlsanity.com/paper/2305.05311/) (2023)
- [Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing](https://mlsanity.com/paper/2407.04801/) (2024)
- [LySACoru~na at SemEval-2022 Task 10: Repurposing Off-the-Shelf Tools for Sentiment Analysis as Semantic Dependency Parsing](https://mlsanity.com/paper/2204.12820/) (2022)
- [A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis](https://mlsanity.com/paper/2205.15514/) (2022)
- [UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding](https://mlsanity.com/paper/2406.16372/) (2024)
- [Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction](https://mlsanity.com/paper/2501.14144/) (2025)
- [Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties](https://mlsanity.com/paper/2502.07058/) (2025)
- [Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish](https://mlsanity.com/paper/2502.20046/) (2025)
- [ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Texts](https://mlsanity.com/paper/2608.12776/) (2026)

## Abstract (arXiv)

While sentiment analysis has become an established field in the NLP community, research into languages other than English has been hindered by the lack of resources. Although much research in multi-lingual and cross-lingual sentiment analysis has focused on unsupervised or semi-supervised approaches, these still require a large number of resources and do not reach the performance of supervised approaches. With this in mind, we introduce two datasets for supervised aspect-level sentiment analysis in Basque and Catalan, both of which are under-resourced languages. We provide high-quality annotations and benchmarks with the hope that they will be useful to the growing community of researchers working on these languages.