Name
Abstract | ||
|---|---|---|
Text generation is increasingly common but often requires manual post-editing where high precision is critical to end users. However, manual editing is expensive so we want to ensure this effort is focused on high-value tasks. And we want to maintain stylistic consistency, a particular challenge in crowd settings. We present a case study, analysing human post-editing in the context of a template-based biography generation system. An edit flow visualisation combined with manual characterisation of edits helps identify and prioritise work for improving end-to-end efficiency and accuracy. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3041021.3054264 | WWW (Companion Volume) |
DocType | Volume | Citations |
Conference | abs/1702.05821 | 0 |
PageRank | References | Authors |
0.34 | 4 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Han | 1 | 593 | 29.85 |
| Will Radford | 2 | 251 | 15.12 |
| Anaïs Cadilhac | 3 | 0 | 0.34 |
| Art Harol | 4 | 0 | 0.34 |
| Andrew Chisholm | 5 | 37 | 3.95 |
| Ben Hachey | 6 | 321 | 24.83 |