Name
Abstract | ||
|---|---|---|
The paper describes a user oriented performance evaluation measure for text segmentation. Experiments show that the proposed measure differentiates well between error distributions with varying user impact. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1277741.1277866 | SIGIR |
Keywords | Field | DocType |
user-oriented text segmentation evaluation,text segmentation,performance evaluation measure,varying user impact,proposed measure,error distribution | Data mining,Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Segmentation-based object categorization,Text segmentation,Image segmentation,User oriented,Artificial intelligence | Conference |
Citations | PageRank | References |
3 | 0.48 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Franz | 1 | 483 | 53.56 |
| J. Scott Mccarley | 2 | 214 | 21.36 |
| Jian-ming Xu | 3 | 19 | 3.10 |