Name
Abstract | ||
|---|---|---|
Many question answering systems are now focusing on the research of question-based answer mining from the Web information or snippets returned by the search engine. However, their main goal is only to get the related answers instead of the correct answers because answers are inconsistent. An answer fusion model and method is proposed, which makes semantic analysis of the various answers to the same question returned by search engines or question answering systems and return the fused answer based on fusion rules and data quality. Experimental test in our QA system shows that the method is effective. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/SKG.2005.36 | Proceedings - First International Conference on Semantics, Knowledge and Grid, SKG 2005 |
Keywords | Field | DocType |
question-based answer mining,various answer,qa system,answer fusion model,question answering system,related answer,semantic analysis,web information,web-based question answering,correct answer,search engine,internet,snippets,search engines,fusion rule,fused answer,query processing,question answering,data quality | Data mining,World Wide Web,Data quality,Search engine,Question answering,Information retrieval,Computer science,Fusion rules,Web application,Web information,The Internet | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
0-7695-2534-2 | 0 | 0.34 |
References | Authors | |
12 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nengfu Xie | 1 | 18 | 8.62 |
| Liu Wenyin | 2 | 2531 | 215.13 |