1. A computer-implemented method, comprising: ingesting text data from a plurality of documents, the text data comprising a plurality of mentions corresponding to entities; determining a plurality of data features, comprising semantic features and syntactic features, for comparing a particular pair of mentions from the plurality of mentions; selectively activating a subset of features from the plurality of data features based on semantic and syntactic context of the particular pair of mentions within the text data; and determining, using weights associated with the activated subset of features and at least one computer implemented machine learning function, whether a first mention of the pair of mentions and second mention of the pair of mentions refer to the same real-world entity; responsive to determining that the first mention and second mention refer to the same real-world entity, resolving the first mention and second mention to the real-world entity; and outputting an indication that identifies the resolved first mention and second mention as being resolved to the real-world entity.
1. A computer-implemented method, comprising: ingesting text data from a plurality of documents, the text data comprising a plurality of mentions corresponding to entities; determining a plurality of data features, comprising semantic features and syntactic features, for comparing a particular pair of mentions from the plurality of mentions; selectively activating a subset of features from the plurality of data features based on semantic and syntactic context of the particular pair of mentions within the text data; and determining, using weights associated with the activated subset of features and at least one computer implemented machine learning function, whether a first mention of the pair of mentions and second mention of the pair of mentions refer to the same real-world entity; responsive to determining that the first mention and second mention refer to the same real-world entity, resolving the first mention and second mention to the real-world entity; and outputting an indication that identifies the resolved first mention and second mention as being resolved to the real-world entity. 13. The method of claim 1 , wherein selectively activating the subset of features from the plurality of data features is performed such as to enable activation of semantically and syntactically relevant data features and such that data features that are not semantically and syntactically relevant are not used in determining whether the first mention and second mention refer to the same entity.