# LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset

Source: [LASQ: A Low-resource Aspect-based Sentiment Quadruple Extraction Dataset](<https://www.sota2.com/research/paper/69ddca3d7d0172140ec79c0a>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-04-15T05:00:11.244Z

Authors: Aizihaierjiang Yusufu, Jiang Liu, Kamran Aziz, Abidan Ainiwaer, Bobo Li, Fei Li, Donghong Ji, Aizierguli Yusufu

Published: 2026-04-12T02:30:31.000Z

## Abstract

In recent years, aspect-based sentiment analysis (ABSA) has made rapid progress and shown strong practical value. However, existing research and benchmarks are largely concentrated on high-resource languages, leaving fine-grained sentiment extraction in low-resource languages under-explored. To address this gap, we constructed the first Low-resource languages Aspect-based Sentiment Quadruple dataset, named LASQ, which includes two low-resource languages: Uzbek and Uyghur. Secondly, it includes a fine-grained target-aspect-opinion-sentiment quadruple extraction task. To facilitate future research, we designed a grid-tagging model that integrates syntactic knowledge. This model incorporates part-of-speech (POS) and dependency knowledge into the model through our designed Syntax Knowledge Embedding Module (SKEM), thereby alleviating the lexical sparsity problem caused by agglutinative languages. Experiments on LASQ demonstrate consistent gains over competitive baselines, validating both the dataset's utility and the effectiveness of the proposed modeling approach.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Aspect-based Sentiment Quadruple Extraction on LASQ Uzbek](<https://www.sota2.com/research/sota/aspect-based-sentiment-quadruple-extraction-on-lasq-uzbek.md>): Aspect-based Sentiment Quadruple Extraction; LASQ Uzbek; Entity Target F1: 75.9.

- [Aspect-based Sentiment Quadruple Extraction on LASQ Uyghur](<https://www.sota2.com/research/sota/aspect-based-sentiment-quadruple-extraction-on-lasq-uyghur.md>): Aspect-based Sentiment Quadruple Extraction; LASQ Uyghur; Entity Target F1: 80.46.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2604.10417>)

[PDF](<https://arxiv.org/pdf/2604.10417.pdf>)