Automated Detection of Subject Area for Question Triage in Digital Reference
Keisuke Inoue · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign) · 2009
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 con- ceptual developments in Library Science. The preliminary experiment using a machine learning classifier produced promising results.