Name
Abstract | ||
|---|---|---|
•Multi-word term aggregation methods of distributional context vectors are compared.•Vectors are applied to semantic similarity and relatedness tasks.•Several dimensionality reduction techniques and vector dimensionalities are compared.•State of the art results achieved and compared to similar authors’ works. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jbi.2017.12.006 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Natural language processing,Semantic similarity and relatedness,Distributional similarity | Semantic similarity,Bag-of-words model,Data mining,Singular value decomposition,Dimensionality reduction,Pattern recognition,Computer science,Curse of dimensionality,Preprocessor,Artificial intelligence,Word2vec,Artificial neural network | Journal |
Volume | ISSN | Citations |
77 | 1532-0464 | 3 |
PageRank | References | Authors |
0.45 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sam Henry | 1 | 13 | 4.45 |
| Clint Cuffy | 2 | 3 | 0.45 |
| Bridget T. McInnes | 3 | 280 | 23.66 |