Name
Abstract | ||
|---|---|---|
In this paper, we introduce the Personalized Question An- swering framework, which aims at addressing certain limitations of exist- ing domain specific Question Answering systems. Current development eorts are ongoing to apply this framework to a use case within the do- main of Business Analysis, highlighting the important role of domain specific semantics. Current research indicates that the inclusion of do- main semantics helps to resolve the ambiguity problem and furthermore improves recall for retrieving relevant passages. |
Year | Venue | Keywords |
|---|---|---|
2006 | SEBIZ | semantic technol- ogy,information retrieval,question answering,business analysis,human language technologies,information extraction,use case,human language technology,question answering system |
Field | DocType | Citations |
Semantic technology,Question answering,Information retrieval,Computer science,Information extraction,Artificial intelligence,Natural language processing,Ambiguity,Recall,Semantics,Business analysis | Conference | 1 |
PageRank | References | Authors |
0.35 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| VinhTuan Thai | 1 | 34 | 5.08 |
| Seán O'riain | 2 | 262 | 20.46 |
| Brian Davis | 3 | 66 | 12.87 |
| David O'sullivan | 4 | 1 | 0.35 |