Name
Abstract | ||
|---|---|---|
AbstractGraphs exceeding the formal complexity of rooted trees are of growing relevance to much NLP research. Although formally well understood in graph theory, there is substantial variation in the types of linguistic graphs, as well as in the interpretation of various structural properties. To provide a common terminology and transparent statistics across different collections of graphs in NLP, we propose to establish a shared community resource with an open-source reference implementation for common statistics. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1162/COLI_a_00268 | Hosted Content |
Field | DocType | Volume |
Graph theory,Graph,Terminology,Computer science,Reference implementation,Natural language processing,Artificial intelligence,Linguistics | Journal | 42 |
Issue | ISSN | Citations |
4 | 0891-2017 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Kuhlmann | 1 | 309 | 23.06 |
| Stephan Oepen | 2 | 533 | 61.08 |