Name
Abstract | ||
|---|---|---|
Semantic role theory considers roles as a small universal set of unanalyzed entities. It means that formally there are no restrictions on role combinations. We argue that the semantic roles co-occur in verb representations. It means that there are hidden restrictions on role combinations. To demonstrate that a practical and evidence-based approach has been built on in-depth analysis of the largest verb database VerbNet. The consequences of this approach are considered. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Computation and Language | Verb,Computer science,Co-occurrence,VerbNet,Role theory,Natural language processing,Artificial intelligence,Semantic role labeling,Universal set |
DocType | Volume | Citations |
Journal | abs/1810.03875 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aliaksandr Huminski | 1 | 0 | 1.01 |
| Hao Zhang | 2 | 5 | 2.79 |
| Gangeshwar Krishnamurthy | 3 | 0 | 0.68 |