Systems and methods for information extraction from natural language texts using a combination of classifiers analyzing local and non-local features. An example method may comprise: extracting, by a computer system, a plurality of features associated with each text segment of a plurality of text segments of a natural language text; associating one or more tags with each text segment of the plurality of text segments by processing, using a stage one classifier, the extracted features associated with the text segment; extracting, from a local context of a candidate token of a text segment of the plurality of text segments, a plurality of local features associated with the candidate token; and processing, by a stage two classifier, a combination of the plurality of local features and the tags associated with the text segment to determine a degree of association of an information object referenced by the candidate token with a category of information objects.
INFORMATION OBJECT EXTRACTION USING COMBINATION OF CLASSIFIERS ANALYZING LOCAL AND NON-LOCAL FEATURES