Changes between Version 10 and Version 11 of private/NlpInPracticeCourse/NamedEntityRecognition
- Timestamp:
- Oct 12, 2015, 9:59:42 AM (8 years ago)
Legend:
- Unmodified
- Added
- Removed
- Modified
-
private/NlpInPracticeCourse/NamedEntityRecognition
v10 v11 36 36 In this workshop, we train a new NER application for the Czech language. We work with free resources & software tools: the Czech NE Corpus (CNEC) and the Stanford NER application. 37 37 38 Requirements: Java 8, python, gigabytes of memory, [raw-attachment:convert_cnec_stanford.py:wiki:en/AdvancedNlpCourse/NamedEntityRecognition convert_cnec_stanford.py], [raw-attachment:named_ent_dtest_unknown.tsv:wiki:en/AdvancedNlpCourse/NamedEntityRecognition named_ent_dtest_unknown.tsv] 38 Requirements: Java 8, python, gigabytes of memory, [raw-attachment:convert_cnec_stanford.py:wiki:en/AdvancedNlpCourse/NamedEntityRecognition convert_cnec_stanford.py], [raw-attachment:named_ent_dtest_unknown.tsv:wiki:en/AdvancedNlpCourse/NamedEntityRecognition named_ent_dtest_unknown.tsv], [raw-attachment:cnec.prop:wiki:en/AdvancedNlpCourse/NamedEntityRecognition cnec.prop] 39 39 40 40 1. Create `<YOUR_FILE>`, a text file named ia161-UCO-03.txt where UCO is your university ID.