1. A device, comprising: one or more processors to: receive text to be processed to identify input entities included in the text; identify text sections of the text; generate a list of terms included in the text sections of the text; perform 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; perform 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: a technique to determine tag patterns for the terms based on tags associated with the terms, a technique to determine whether the terms are capitalized, a technique to determine a headword in each term than includes multiple words, a technique to determine a number of constituent words in each term, a technique to determine semantic similarities of input type actions acting on the terms, a technique to determine 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, a technique to determine a distance of each term from an action appearing in a same text section associated with each term, or a technique to identify surrounding context for each term and associated tags with the surrounding context; generate 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 provide the information that identifies the input entities included in the text.
1. A device, comprising: one or more processors to: receive text to be processed to identify input entities included in the text; identify text sections of the text; generate a list of terms included in the text sections of the text; perform 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; perform 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: a technique to determine tag patterns for the terms based on tags associated with the terms, a technique to determine whether the terms are capitalized, a technique to determine a headword in each term than includes multiple words, a technique to determine a number of constituent words in each term, a technique to determine semantic similarities of input type actions acting on the terms, a technique to determine 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, a technique to determine a distance of each term from an action appearing in a same text section associated with each term, or a technique to identify surrounding context for each term and associated tags with the surrounding context; generate 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 provide the information that identifies the input entities included in the text. 7. The device of claim 1 , where the one or more processors are further to: provide a query to a user requesting entity identification for a portion of the terms; receive, based on the query and from the user, the entity identification for the portion of the terms; update the information that identifies the input entities included in the text, based on the entity identification for the portion of the terms; and provide the updated information that identifies the input entities included in the text.