lyutyuh/gazetteer-NER-acl19
Code for ACL '19 paper: Towards Improving Neural Named Entity Recognition with Gazetteers
When analyzing text for specific entities like people, locations, or organizations, this tool helps you automatically identify and tag them more accurately. It takes your raw text and a list of known entities (a gazetteer), then outputs the same text with those entities clearly marked. This is for researchers or analysts who work with large volumes of text and need precise entity extraction.
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Use this if you need to improve the accuracy of named entity recognition in text by leveraging predefined lists of entities.
Not ideal if you don't have existing lists of entities or if your primary need is general text classification rather than specific entity identification.
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Python
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Last pushed
Jul 02, 2021
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