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 4: Quantitative evaluation of interpretability
['[BOLD] GloVe', '[BOLD] Original', '[BOLD] SPINE', '[BOLD] SPOWV']
5.2.2 Quantitative Evaluation The results agree with those obtained by qualitative evaluation. As it can be seen, although SPOWV vectors were seen to perform better in downstream tasks, vectors trained by SPINE have better interpretability in medical domain.