15. A method, comprising: receiving, by a device, text to be processed to identify input entities included in the text; identifying, by the device, text sections of the text; generating, by the device, a list of terms included in the text sections of the text; performing, by the device, a feature extraction technique to determine whether each term, in the list of the terms, is an object of an action, the feature extraction technique causing a subject-predicate-object relationship to be extracted from one of the text sections; performing, by the device, one or more other feature extraction techniques, on the terms included in the text sections, to identify the input entities included in the text, the one or more other feature extraction techniques including at least one of: determining tag patterns for the terms based on tags associated with the terms, determining whether the terms are capitalized, determining a headword in each term than includes multiple words, determining a number of constituent words in each term, determining semantic similarities of input type actions acting on the terms, determining semantic similarities of non-input type actions acting on the terms, the non-input type actions acting on the terms being action terms that are not in the list of terms, determining a distance of each term from an action appearing in a same text section associated with each term, or identifying surrounding context for each term and associating tags with the surrounding context; generating, by the device, information that identifies the input entities included in the text, based on performing the feature extraction technique and the one or more other feature extraction techniques; and providing, by the device, the information that identifies the input entities included in the text.
15. A method, comprising: receiving, by a device, text to be processed to identify input entities included in the text; identifying, by the device, text sections of the text; generating, by the device, a list of terms included in the text sections of the text; performing, by the device, a feature extraction technique to determine whether each term, in the list of the terms, is an object of an action, the feature extraction technique causing a subject-predicate-object relationship to be extracted from one of the text sections; performing, by the device, one or more other feature extraction techniques, on the terms included in the text sections, to identify the input entities included in the text, the one or more other feature extraction techniques including at least one of: determining tag patterns for the terms based on tags associated with the terms, determining whether the terms are capitalized, determining a headword in each term than includes multiple words, determining a number of constituent words in each term, determining semantic similarities of input type actions acting on the terms, determining semantic similarities of non-input type actions acting on the terms, the non-input type actions acting on the terms being action terms that are not in the list of terms, determining a distance of each term from an action appearing in a same text section associated with each term, or identifying surrounding context for each term and associating tags with the surrounding context; generating, by the device, information that identifies the input entities included in the text, based on performing the feature extraction technique and the one or more other feature extraction techniques; and providing, by the device, the information that identifies the input entities included in the text. 20. The method of claim 15 , further comprising: providing a query to a user requesting entity identification for a portion of the terms; receiving, based on the query and from the user, the entity identification for the portion of the terms; updating the information that identifies the input entities included in the text, based on the entity identification for the portion of the terms; and providing the updated information that identifies the input entities included in the text.