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Automated Detection of Subject Area for Question Triage in Digital Reference
| Content Provider | Semantic Scholar |
|---|---|
| Author | Inoue, Keisuke |
| Copyright Year | 2009 |
| Abstract | This poster presents an on-going study, which attempts to implement an automated detection of the subject area of digital reference questions for the purpose of question triage. The study attempts to show that automated question triage is an achievable task, by incorporating the technological developments in Information Retrieval and conceptual developments in Library Science. The preliminary experiment using a machine learning classifier produced promising results. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ideals.uiuc.edu/bitstream/handle/2142/15285/poster1.pdf?sequence=2 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |