Name
Abstract | ||
|---|---|---|
Résumé In this paper, we present the LIMSI question-answering systems on speech transcripts which participated to the QAst 2008 evaluation. These systems are based on a complete and multi- level analysis of both queries and documents. These systems use an automatically generated research descriptor. A score based on those descriptors is u sed to select documents and snippets. The extraction and scoring of candidate answers is based on proximity measurements within the research descriptor elements and a number of secondary factors. We participated to all the subtasks and submitted 18 runs (for 16 sub-tasks). The evaluation results for manual transcripts range from 31% to 45% for accuracy depending on the task and from 16 to 41% for automatic transcripts. |
Year | Venue | Keywords |
|---|---|---|
2008 | CLEF (Working Notes) | question answering,speech transcriptions |
DocType | Citations | PageRank |
Conference | 2 | 0.50 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sophie Rosset | 1 | 393 | 61.66 |
| Olivier Galibert | 2 | 314 | 30.03 |
| Guillaume Bernard | 3 | 40 | 5.23 |
| Eric Bilinski | 4 | 57 | 9.39 |
| Gilles Adda | 5 | 1016 | 137.10 |