Name
Abstract | ||
|---|---|---|
We describe a graph-based generation system that participated in the TUNA attribute selection and realisation task of the REG 2008 Challenge. Using a stochastic cost function (with certain properties for free), and trying attributes from cheapest to more expensive, the system achieves overall .76 DICE and .54 MASI scores for attribute selection on the development set. For realisation, it turns out that in some cases higher attribute selection accuracy leads to larger differences between system-generated and human descriptions. |
Year | Venue | Keywords |
|---|---|---|
2008 | Review of Finance | masi score,realisation task,attribute selection,development set,tuna attribute selection,certain property,larger difference,cases higher attribute selection,graph-based generation system,human description |
Field | DocType | Citations |
Data mining,Graph,Expression (mathematics),Feature selection,Computer science,Realisation,Redundancy (engineering),Artificial intelligence,Dice,Machine learning | Conference | 6 |
PageRank | References | Authors |
0.59 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emiel Krahmer | 1 | 866 | 110.30 |
| Mariët Theune | 2 | 379 | 43.91 |
| Jette Viethen | 3 | 184 | 14.02 |
| Iris Hendrickx | 4 | 285 | 30.91 |