Name
Abstract | ||
|---|---|---|
In a previous paper we proved that Named Entity Recognition plays an important role to improve Question Answering by both increasing the quality of the data and by reducing its quantity. Here we present a more in-depth discussion, studying several ways in which NER can be applied in order to produce a maximum data reduction. We achieve a 60% reduction without significant data loss and a 92.5% with a reasonable implication in data quality. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11551874_55 | TSD |
Keywords | Field | DocType |
important role,question answering,entity recognition,in-depth discussion,maximum data reduction,question answering input data,significant data loss,previous paper,data quality,reasonable implication,data reduction | Speech processing,Question answering,Data quality,Data loss,Computer science,Natural language,Artificial intelligence,Natural language processing,Named-entity recognition,Data reduction | Conference |
Volume | ISSN | ISBN |
3658 | 0302-9743 | 3-540-28789-2 |
Citations | PageRank | References |
6 | 0.55 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elisa Noguera | 1 | 47 | 10.35 |
| Antonio Toral | 2 | 52 | 10.60 |
| Fernando Llopis | 3 | 29 | 4.24 |
| rafael munoz guillena | 4 | 104 | 11.29 |