Restaurant-ACOS

Restaurant-ACOS 数据集是基于 SemEval 2016 餐厅数据集 (Pontiki et al., 2016) 及其扩展数据集 (Fan et al., 2019; Xu et al., 2020) 构建的。 SemEval 2016 餐厅数据集 (Pontiki et al., 2016) 用显式和隐式方面、类别和情绪进行了注释。 (Fan et al., 2019; Xu et al., 2020) 进一步添加了意见注释。我们整合他们的注释来构建方面-类别-意见-情感四元组，并进一步注释隐含的意见。 Restaurant-ACOS 数据集包含 2286 个句子和 3658 个四元组。值得注意的是，Restaurant-ACOS 适用于 ABSA 中的所有子任务，包括基于方面的情感分类、方面-情感对提取、方面-观点对提取、方面-观点情感三元组提取、方面-类别-情感三元组提取， ETC。The Restaurant-ACOS dataset is constructed based on the SemEval 2016 Restaurant Dataset (Pontiki et al., 2016) and its extended datasets (Fan et al., 2019; Xu et al., 2020). The SemEval 2016 Restaurant Dataset (Pontiki et al., 2016) was annotated with explicit and implicit aspects, categories, and sentiments. Fan et al. (2019) and Xu et al. (2020) further added opinion annotations. We integrated their annotations to construct aspect-category-opinion-sentiment quadruples, and further annotated implicit opinions. The Restaurant-ACOS dataset contains 2,286 sentences and 3,658 quadruples. Notably, the Restaurant-ACOS dataset is applicable to all subtasks of Aspect-Based Sentiment Analysis (ABSA), including aspect-based sentiment classification, aspect-sentiment pair extraction, aspect-opinion pair extraction, aspect-opinion-sentiment triple extraction, aspect-category-sentiment triple extraction, etc.

搜集汇总

背景与挑战

背景概述

Restaurant-ACOS数据集是基于SemEval 2016餐厅数据集及其扩展版本构建的，整合了显式和隐式方面、类别、意见和情感注释，形成了方面-类别-意见-情感四元组结构。该数据集包含2286个句子和3658个四元组，适用于基于方面的情感分析（ABSA）中的多种子任务，如情感分类和三元组提取。