1. A method for named-entity recognition and verification, comprising the steps of: (A) segmenting text data from an article into at least one to-be-tested segments according to a text window; (B) parsing the to-be-tested segments to remove ill-formed segments from the to-be-tested segments according to a predefined grammar; (C) using a hypothesis test to assess a confidence measure of each to-be-tested segment, wherein the confidence measure is determined from dividing a probability of assuming that the to-be-tested segment has a named-entity by a probability of assuming that the to-be-tested segment doesn't have a named-entity; and (D) determining that the to-be-tested segment has a named-entity if the confidence measure is greater than a predefined threshold.