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Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems
This is altered by the modifications reported in this brief that drastically improve the computational characteristics.
Corpus Wide Argument Mining -- a Working Solution
One of the main tasks in argument mining is the retrieval of argumentative content pertaining to a given topic.
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining
We propose a methodology to blend high quality but scarce strong labeled data with noisy but abundant weak labeled data during the training of neural networks.
Kernel Spectral Clustering and applications
This is a major advantage compared to classical spectral clustering where the determination of the clustering parameters is unclear and relies on heuristics.
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