1. A method, in a data processing system comprising a processor and a memory, for performing an operation based on an identification of similar lines of questioning by input question sources, the method comprising: obtaining, by the data processing system, question information identifying extracted features of an input question and a first source communication device that is a source of the input question; performing, by the data processing system, a clustering operation to cluster the input question with one or more other questions of a cluster based on a similarity of the extracted features of the input question to features of the one or more other questions; performing, by the data processing system, an operation based on results of the clustering of the input question with the one or more other questions, wherein the operation comprises automatically initiating a communication between the first source communication device and a second source communication device that is a source of another question in the cluster at least by one of automatically establishing a communication connection between the first source communication device and the second source communication device or automatically initiating a collaboration session, in a computer-implemented collaboration system, between the first source communication device and the second source communication device, wherein the input question is a question input to a Question and Answer (QA) system which processes the input question to generate an answer to the input question based on a corpus of information, and further generates one or more supporting evidence passages supporting the answer as being a correct answer for the input question; and generating, for the input question, one or more question (Q)-Answer (A)-evidence Passage (P) triplets, wherein performing the clustering operation comprises performing clustering on features of the one or more QAP triplets.
6. The method of claim 1 , wherein the extracted features and features of the one or more other questions comprise at least one of a focus, lexical answer type (LAT), question classification (QClass), or question sections (QSection).