1. A method implemented by an information handling system that includes a memory and a processor, the method comprising: analyzing a plurality of posts included in one or more threads of an online forum, wherein the analyzing further comprises: identifying a main topic related to a parent post of the thread; selecting a plurality child posts of the thread, wherein the parent post is a parent to each of the child posts; identifying any referential types corresponding to a plurality of words included in the parent post; identifying any anaphora types corresponding to a plurality of words included in each of the child posts; associating each of the plurality of child posts with the parent post as a relationship; resolving the anaphora types included in the child posts with at least one of the referential types included in the parent post; determining a sentiment between each of the child posts and the parent post; identifying a plurality of child topics, wherein each of the plurality of child topics corresponds to one of the child posts and the determined sentiment; and determining a relevance of each of the child posts by comparing the identified main topic to each of the identified child topics; selecting one or more of the child posts based on the relevance of the child posts; ingesting data from the parent post into a corpus utilized by a question answering (QA) system; ingesting data from the one or more selected child posts into the corpus; and building a forum tree corresponding to the online forum, wherein the forum tree includes the parent post and the selected one or more child posts, the relationships between the parent post and each of the selected child posts, and the resolved anaphora types included in each of the selected child posts.
1. A method implemented by an information handling system that includes a memory and a processor, the method comprising: analyzing a plurality of posts included in one or more threads of an online forum, wherein the analyzing further comprises: identifying a main topic related to a parent post of the thread; selecting a plurality child posts of the thread, wherein the parent post is a parent to each of the child posts; identifying any referential types corresponding to a plurality of words included in the parent post; identifying any anaphora types corresponding to a plurality of words included in each of the child posts; associating each of the plurality of child posts with the parent post as a relationship; resolving the anaphora types included in the child posts with at least one of the referential types included in the parent post; determining a sentiment between each of the child posts and the parent post; identifying a plurality of child topics, wherein each of the plurality of child topics corresponds to one of the child posts and the determined sentiment; and determining a relevance of each of the child posts by comparing the identified main topic to each of the identified child topics; selecting one or more of the child posts based on the relevance of the child posts; ingesting data from the parent post into a corpus utilized by a question answering (QA) system; ingesting data from the one or more selected child posts into the corpus; and building a forum tree corresponding to the online forum, wherein the forum tree includes the parent post and the selected one or more child posts, the relationships between the parent post and each of the selected child posts, and the resolved anaphora types included in each of the selected child posts. 2. The method of claim 1 wherein the actions further comprise: identifying referential data in the child posts and the parent post, wherein at least one of the referential data is selected from the group consisting of domain, question, focus, concept, statements, and a lexical answer type (LAT); and storing the referential data in the corpus utilized by the QA system.