Abstract
This paper describes the THCIB systems that used in the ShARe/CLEF eHealth Lab 2013 task 2. We built a baseline system using open source software, and improve the performance by adding dictionaries. The dictionary is built from training set and web resource using the existing technologies. The experimental results show that adding dictionary of acronym/abbreviation can improve the performance significantly.
Original language | English |
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Journal | CEUR Workshop Proceedings |
Volume | 1179 |
Publication status | Published - 2013 |
Externally published | Yes |
Event | 2013 Cross Language Evaluation Forum Conference, CLEF 2013 - Valencia, Spain Duration: 23 Sept 2013 → 26 Sept 2013 |
Keywords
- Abbreviation normalization
- Acronym normalization
- Clinical report processing
- Dictionary generation
- Natural language processing