From: NOBLE – Flexible concept recognition for large-scale biomedical natural language processing
Use Cases | Combination of matching options | |||||
---|---|---|---|---|---|---|
Task | Description | Subsumption | Overlap | Contiguity | Order | Partial |
Best match | Provides the narrowest meaningful match with the fewest candidates. Best for concept coding and information extraction. | Yes | Yes | Yes (gap = 1) | No | No |
All match | Provides as many matched candidates as possible. Best for information retrieval and text mining. | No | Yes | No | No | No |
Precise match | Attempts to minimize the number of false positives by filtering out candidates that do not appear in exactly the same form as in controlled terminology. Similar to best match, but increases precision at the expense of recall. | Yes | No | Yes (gap = 0) | Yes | No |
Sloppy match | Allows matching of concepts even if the entire term representing it is not mentioned in input text. Best for concept coding with small, controlled terminologies and poorly developed synonymy. | No | Yes | No | No | Yes |