Name
Abstract | ||
|---|---|---|
The TempEval task proposes a simple way to evaluate automatic extraction of temporal relations. It avoids the pitfalls of evaluating a graph of inter-related labels by defining three sub tasks that allow pairwise evaluation of temporal relations. The task not only allows straightforward evaluation, it also avoids the complexities of full temporal parsing. |
Year | Venue | Keywords |
|---|---|---|
2007 | SemEval@ACL | semeval-2007 task,full temporal parsing,tempeval task,automatic extraction,sub task,temporal relation,straightforward evaluation,pairwise evaluation,inter-related label,tempeval temporal relation identification |
Field | DocType | Citations |
TimeML,Pairwise comparison,Graph,SemEval,Computer science,Artificial intelligence,Natural language processing,Parsing,Machine learning | Conference | 134 |
PageRank | References | Authors |
9.08 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Verhagen | 1 | 988 | 69.47 |
| Robert Gaizauskas | 2 | 923 | 121.46 |
| Frank Schilder | 3 | 422 | 36.60 |
| Mark Hepple | 4 | 702 | 75.09 |
| Graham Katz | 5 | 589 | 41.68 |
| James Pustejovsky | 6 | 2523 | 334.15 |