Gender tagging of named entities using retrieval‐assisted multi‐context aggregation: An unsupervised approach
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DOI: 10.1002/asi.24735
Abstract: Inferring the gender of named entities present in a text has several practical applications in information sciences. Existing approaches toward name gender identification rely exclusively on using the gender distributions from labeled data. In the… read more here.
Keywords: gender; context aggregation; named entities; retrieval assisted ... See more keywords