Changes between Version 7 and Version 8 of private/NlpInPracticeCourse/NamedEntityRecognition
- Timestamp:
- Oct 11, 2015, 4:16:58 PM (9 years ago)
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private/NlpInPracticeCourse/NamedEntityRecognition
v7 v8 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 convert_cnec_stanford.py], [raw-attachment:named_ent_dtest_unknown.tsv:wiki:en/AdvancedNlpCoursenamed_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] 39 39 40 40 1. Create `<YOUR_FILE>`, a text file named ia161-UCO-03.txt where UCO is your university ID.