Name
Abstract | ||
|---|---|---|
Hypernym discovery is the problem of finding terms that have is-a relationship with a given term. We introduce a new context type, and a relatedness measure to differentiate hypernyms from other types of semantic relationships. Our Document Structure measure is based on hierarchical position of terms in a document, and their presence or otherwise in definition text. This measure quantifies the document structure using multiple attributes, and classes of weighted distance functions. |
Year | Venue | DocType |
|---|---|---|
2018 | arXiv: Computation and Language | Journal |
Volume | Citations | PageRank |
abs/1811.12728 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aswin Kannan | 1 | 41 | 4.86 |
| Shanmukha C. Guttula | 2 | 0 | 0.68 |
| Balaji Ganesan | 3 | 0 | 1.35 |
| Hima P. Karanam | 4 | 5 | 4.29 |
| Arun Kumar | 5 | 595 | 51.04 |