Knowledge representation for question answering
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abstract: Question answering systems that produce "knowledgeable" answers are highly desirable. As web use and, in particular, web search, continues to grow, there is increasing demand for information that can be accessed in what appears to be a more intelligent manner (e.g., Hagen, et al, 2000). There are many fields from which to access techniques that can be leveraged to improve question answering. In this paper we briefly address some ways that the field of knowledge representation has been and may be leveraged to impact applications that retrieve answers.
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| Abstract | Question answering systems that produce &q … Question answering systems that produce "knowledgeable" answers are highly desirable. As web use and, in particular, web search, continues to grow, there is increasing demand for information that can be accessed in what appears to be a more intelligent manner (e.g., Hagen, et al, 2000). There are many fields from which to access techniques that can be leveraged to improve question answering. In this paper we briefly address some ways that the field of knowledge representation has been and may be leveraged to impact applications that retrieve answers. impact applications that retrieve answers. |
| Address | Stanford, CA, USA + |
| Author | Deborah L. McGuinness + |
| Bibtype | inproceedings + |
| Booktitle | Proceedings of the American Association for Artificial Intelligence Spring Symposium Workshop on New Directions for Question Answering + |
| Key | KSL-03-09 + |
| Month | March + |
| Relation | Inference web + |
| Tag | Computer science + |
| Title | Knowledge Representation for Question Answering + |
| Tr id | KSL-03-09 + |
| Year | 2003 + |
