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Found 5 papers, 1 papers with code
Unsupervised Mining of Analogical Frames by Constraint Satisfaction
It has been demonstrated that vector-based representations of words trained on large text corpora encode linguistic regularities that may be exploited via the use of vector space arithmetic.
The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction
This study investigates the use of unsupervised word embeddings and sequence features for sample representation in an active learning framework built to extract clinical concepts from clinical free text.
Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications
We introduce a scalable algorithm that clusters hundreds of millions of web pages into hundreds of thousands of clusters.
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