Evaluating Sparse Interpretable Word Embeddings for Biomedical DomainThis research was supported by the Institute for Artificial Intelligence (iai.iut.ac.ir) under a generous grant by Mr. Farhad Rahnema.
Table 2: Extrinsic evaluation results
['[BOLD] Vectors', '[BOLD] PC', '[BOLD] FC', '[BOLD] QC', '[BOLD] Average']
As it can be observed, the classifiers benefit slightly from the sparsity of the vectors.