From: Clinical Natural Language Processing in languages other than English: opportunities and challenges
Method/Task | Language/reference cited in this review |
---|---|
Core NLP | |
- Morphology | |
- Part of Speech tagging | |
- Parsing | |
- Segmentation | |
Resource development | |
- Lexicons | BG [62] EL [52] EU [51] FR [50, 65–67] HE [44] JA [49] SV[48] ZH [68, 69] |
- Corpora and annotation | |
- Models, methods | |
De-identification | |
Information extraction | |
- Medical Concepts | BG [62, 64] ZH [42, 43] DE [80, 84, 115, 124] DU [114] ES [34] |
- Findings/Symptoms | |
- Drugs/Adverse events | |
- Specific characteristics | |
- Relations | |
Classification | |
- Phenotyping from EHR text | |
- Indexing and coding | |
- Patient-authored text | JA [127] |
- Cohort stratification | |
Context Analysis | DU [110] |
- Negation detection | |
- Uncertainty/Assertion | |
- Temporality | |
- Abbreviation | |
- Experiencer | DU [110] |
Multilingual tasks | |
- Translation | |
- Information Retrieval | |
- Cultural analysis | |
Shared tasks | |
- CLEF-ER2013 | DE,DU,FR,ES- [138] |
- CLEF eHealth 2015, 2016 | |
- NTCIR 2014, 2016 |