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Found 4 papers, 4 papers with code
OpinSummEval: Revisiting Automated Evaluation for Opinion Summarization
Opinion summarization sets itself apart from other types of summarization tasks due to its distinctive focus on aspects and sentiments.
Synthetic Instance Segmentation from Semantic Image Segmentation Masks
SISeg does not require training a semantic or/and instance segmentation model and avoids the need for instance-level image annotations.
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Multi-Label Few-Shot Aspect Category Detection (FS-ACD) is a new sub-task of aspect-based sentiment analysis, which aims to detect aspect categories accurately with limited training instances.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
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Learning to Reduce Information Bottleneck for Object Detection in Aerial Images
In this letter, we first underline the importance of the neck network in object detection from the perspective of information bottleneck.
