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ASOTE datasets
Four datasets for ASOTE: 14res, 14lap, 15res, 16res. These datasets are built based on several popular ABSA benchmarks. -
SemEval-2016 Task 5 Subtask 1
The SemEval-2016 Task 5 Subtask 1 dataset is used to train and evaluate the LCR-Rot-hop model. The dataset consists of hundreds of restaurant reviews. Each review is divided... -
REVIEWER2 dataset
A large-scale review dataset of 27k papers and 99k reviews that are annotated with aspect prompts. -
Aspect Robustness Test Set (ARTS)
The Aspect Robustness Test Set (ARTS) is a comprehensive probe of the aspect robustness of ABSA models. -
SemEval 2014 Laptop and Restaurant Reviews
Aspect-based sentiment analysis (ABSA) aims to predict the sentiment towards a specific aspect in the text. However, existing ABSA test sets cannot be used to probe whether a... -
Sem2015-Laptop
The dataset used for Aspect-Based Sentiment Analysis (ABSA) experiments. -
Sem2015-Restaurant
The dataset used for Aspect-Based Sentiment Analysis (ABSA) experiments. -
BeerAdvocate
The dataset used for Aspect-Based Sentiment Analysis (ABSA) experiments. -
CitySearch
The dataset used for Aspect-Based Sentiment Analysis (ABSA) experiments. -
Opinion Tree Parsing for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) has drawn increasing attention in the community, which includes four subtasks: aspect term extraction, opinion term extraction, aspect... -
SemEval-2016 Restaurant reviews dataset and Citysearch corpus
The dataset used in the paper is the SemEval-2016 Restaurant reviews dataset and the Citysearch corpus. -
SemEval 2014 Task 4: Aspect Based Sentiment Analysis
Aspect-level sentiment classification task aiming at identifying the polarity of a given aspect within a certain context, i.e. a comment or a review.
