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Text Clustering

4 papers with code · Natural Language Processing

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Self-Taught Convolutional Neural Networks for Short Text Clustering

1 Jan 2017jacoxu/STC2

Short text clustering is a challenging problem due to its sparseness of text representation.

DIMENSIONALITY REDUCTION TEXT CLUSTERING WORD EMBEDDINGS

On the Use of ArXiv as a Dataset

30 Apr 2019mattbierbaum/arxiv-public-datasets

We use this pipeline to extract and analyze a 6. 7 million edge citation graph, with an 11 billion word corpus of full-text research articles.

AUTHOR ATTRIBUTION LANGUAGE MODELLING LINK PREDICTION SEMANTIC SEGMENTATION STRUCTURED PREDICTION TEXT CLASSIFICATION TEXT CLUSTERING

A Self-Training Approach for Short Text Clustering

WS 2019 hadifar/stc_clustering

Short text clustering is a challenging problem when adopting traditional bag-of-words or TF-IDF representations, since these lead to sparse vector representations of the short texts.

SENTENCE EMBEDDING TEXT CLUSTERING