{"push_id":2890881220,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"a1e06748a606f407edf8a9135e8c49724e45121f","before":"8c1d1960367fd7ea6306c929fda04088c428737c","commits":[{"sha":"a1e06748a606f407edf8a9135e8c49724e45121f","author":{"name":"Tristan Crockett","email":"cf019b6ba9b8f0ec962f7cd7c9804e31a5206ee1@gmail.com"},"message":"Extract Section Text [Resolves #216] (#217)\n\nIntroduces section extraction, which is aimed at zooming in on specific\r\nsections of large pieces of unstructured text. It does this through\r\nsentence/line/bullet heuristics. It comes in three flavors:\r\n\r\n- basic utility function\r\n- Word2Vec corpus creator that uses the utility function\r\n- skill extractor that uses the utility function and assumes that each\r\nsentence contained in the section is a distinct skill\r\n\r\nThe skill extractor is added to the skill extractor metric example,\r\nalong with some retooling so that non-list-based skill extractors make\r\nmore sense in that example.","distinct":true,"url":"https://api.github.com/repos/workforce-data-initiative/skills-ml/commits/a1e06748a606f407edf8a9135e8c49724e45121f"}]}
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