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SE-shapelets: Semi-supervised Clustering of Time Series Using Representative Shapelets
Shapelets that discriminate time series using local features (subsequences) are promising for time series clustering.
PIE-QG: Paraphrased Information Extraction for Unsupervised Question Generation from Small Corpora
Supervised Question Answering systems (QA systems) rely on domain-specific human-labeled data for training.
Representation Learning for Short Text Clustering
Effective representation learning is critical for short text clustering due to the sparse, high-dimensional and noise attributes of short text corpus.
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