Abstract
As part of the long-term EUREGIO MRSA-net project a system was developed which enables health care workers and the general public to quickly find answers to their questions regarding the MRSA pathogen. This paper focuses on how these questions can be answered using Information Retrieval (IR) and Natural Language Processing (NLP) techniques on a Frequently-Asked-Questions-style (FAQ) database.
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings of the 9th Dutch-Belgian Information Retrieval Workshop (DIR2009) |
| Place of Publication | Enschede |
| Publisher | Centre for Telematics and Information Technology (CTIT) |
| Pages | 26-33 |
| Number of pages | 8 |
| Publication status | Published - 2 Feb 2009 |
| Event | 9th Dutch-Belgian Information Retrieval Workshop, DIR 2009 - Enschede, Netherlands Duration: 2 Feb 2009 → 3 Feb 2009 Conference number: 9 |
Publication series
| Name | CTIT Workshop Proceedings |
|---|---|
| Publisher | Centre for Telematics and Information Technology University of Twente |
| Number | 09-01 |
| ISSN (Print) | 0929-0672 |
| ISSN (Electronic) | 0929-0672 |
Workshop
| Workshop | 9th Dutch-Belgian Information Retrieval Workshop, DIR 2009 |
|---|---|
| Abbreviated title | DIR |
| Country/Territory | Netherlands |
| City | Enschede |
| Period | 2/02/09 → 3/02/09 |
Keywords
- CR-H.3.1
- CR-H.3.3
- CR-I.2.7
- DB-IR: INFORMATION RETRIEVAL
- Question Answering
- METIS-263741
- linguistic processing
- EWI-15087
- IR-65393
- Information Retrieval
- Performance Evaluation