Papers by Vasile Florian Păiș
RACAI’s System at PharmaCoNER 2019 (D19-57)
Copied to clipboard
| Challenge: | RACAI researchers develop named entity recognition systems for Romanian language . current system is language-independent and can be improved by using language-dependent resources . |
| Approach: | They propose to train a named entity recognition system for Romanian language . they propose to use a gazetteer-based baseline and a RNN-based NER system . |
| Outcome: | The proposed system is language independent, provided language-dependent resources exist . the proposed system can detect entities with four labels: anatomical parts, disorders, medical procedures and chemical compounds . |