3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in hidden-aspect-detection-2
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Use these libraries to find hidden-aspect-detection-2 models and implementations
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Multi-view Prompting is proposed that aggregates sentiment elements generated in different orders, leveraging the intuition of human-like problem-solving processes from different views, and can naturally model multi-view and multi-task as permutations and combinations of elements, respectively.
Experimental results on benchmark datasets show that the proposed unsupervised method to extract latent occurrences of aspects is able to improve the state of the art when the aspects are latent with no surface form in reviews.
Adding a benchmark result helps the community track progress.