Name
Abstract | ||
|---|---|---|
This paper studies the problem of filtering data in Passage Retrieval applied to Question Answering. Specifically, in this paper we have proved that the Mean-Value Theorem can play an important role to improve Question Answering. We have studied the way in which this theorem can be applied in order to produce a maximum data reduction without precision loss. In the experiments, we achieve a 90% data reduction without significant data loss. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11816508_53 | FinTAL |
Keywords | Field | DocType |
open-domain question answering,important role,question answering,mean-value theorem,paper study,maximum data reduction,significant data loss,precision loss,data reduction,passage retrieval,mean value theorem | Question answering,Data loss,Mean value,Computer science,Algorithm,Filter (signal processing),Natural language,Data reduction | Conference |
Volume | ISSN | ISBN |
4139 | 0302-9743 | 3-540-37334-9 |
Citations | PageRank | References |
1 | 0.38 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elisa Noguera | 1 | 47 | 10.35 |
| Fernando Llopis | 2 | 29 | 4.24 |
| Antonio Ferrández | 3 | 226 | 25.57 |