v0.9.0

0.9.0 (2024-07-10)

Added

• Mantra GSC corpus for evaluation
• Loading and exporting InfoExtractionDataset as dictionaries or JSON files
• Metric support for multi-class qualifiers
• In the RuleBasedEntityMatcher, option to add terms as a dict (in addition to str, list and Term)
• In the RuleBasedEntityMatcher, option to add terms from dict (add_terms_from_dict), json (add_terms_from_json) or csv (add_terms_from_csv)
• In the Term class, an option to override arguments that were not set

Changed

• Moved regression test cases to data directory in more open format, so they are re-usable
• Made the default field for Qualifier optional
• InfoExtractionDataset and InfoExtractionMetrics use Qualifier objects for qualifiers rather than dict
• ❗ InfoExtractionDataset and InfoExtractionMetrics no longer track or use qualifier defaults
• Made qualifiers optional for metrics in Annotation
• Added a normalize method to Normalizer, so it can be used/tested directly
• The logic for determining whether the RuleBasedEntityMatcher should internally use the phrase matcher or the matcher is simplified

Deprecated

• ❗ The create_concept_dict method, which is now replaced by add_terms_from_csv in RuleBasedEntityMatcher
• ❗ In the RuleBasedEntityMatcher, the load_concepts method, which is now replaced by add_terms_from_dict and add_terms_from_json