Text mining for global health surveillance is an emerging technology that is gaining increased attention from public health organizations and governments. The lack of multilingual resources such as Word- Nets specifically targeted at this task has so far been a major bottleneck. This paper reports on a major upgrade to the Bio Caster Web monitoring system and its freely available multilingual ontology; improving its original design and extending its coverage of diseases from 70 to 336 in 12 languages.
|Number of pages||8|
|State||Published - 2010|
|Event||23rd International Conference on Computational Linguistics, Coling 2010 - Beijing, China|
Duration: Aug 23 2010 → Aug 27 2010
|Conference||23rd International Conference on Computational Linguistics, Coling 2010|
|Period||08/23/10 → 08/27/10|