Name
Abstract | ||
|---|---|---|
We propose a method of acquiring factual knowledge using the Knowledge Base Acquisition Environment (KBAE) of CRL (Computing
Research Laboratory). We observed that a Fact Database that is generated by instantiating ontological concepts takes advantage
of the full expressive power of ontological structures for use in NLP systems, including machine translation, information
retrieval and question-answering systems. We argue that both the construction of the Fact Database and the quality of applications
that use it can be enhanced by ontological inferences that are available from the connected resources.
|
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/3-540-44533-1_117 | PRICAI |
Keywords | Field | DocType |
factual knowledge,ontological instantiation,knowledge base,question answering system,information retrieval,expressive power,machine translation | Ontology,Question answering,Information retrieval,Computer science,Machine translation,Natural language processing,Artificial intelligence,Knowledge base,Expressive power | Conference |
ISBN | Citations | PageRank |
3-540-67925-1 | 1 | 0.38 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyopil Shin | 1 | 53 | 10.09 |
| Spencer Koehler | 2 | 1 | 0.38 |