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Table 2 Sets of approaches combining CRFs, dictionary matching, and regular expression matching in five different ways.

From: CheNER: a tool for the identification of chemical entities and their classes in biomedical literature

Run Description
1 Combines a CRF to identify SYSTEMATIC entities with dictionary matching to identify TRIVIAL, FAMILY, and ABBREVIATION entities, and regular expression matching to identify FORMULA and IDENTIFIER entities.
2 Combines individual CRFs to identify SYSTEMATIC and TRIVIAL entities with dictionary matching to identify FAMILY and ABBREVIATION entities, and regular expression matching to identify FORMULA and IDENTIFIER entities.
3 Uses a single CRF to identify SYSTEMATIC, TRIVIAL, FAMILY, ABBREVIATION, FORMULA and IDENTIFIER entities.
4 Combines individual CRFs to identify SYSTEMATIC, TRIVIAL, FAMILY, ABBREVIATION, and FORMULA entities with an individual regular expression matching to identify IDENTIFIER entities.
5 Uses a single CRF to identify SYSTEMATIC, TRIVIAL, FAMILY, ABBREVIATION, FORMULA and IDENTIFIER entities and specifically labels each class of entity.