| Abstract | Online forums are becoming a popular resource in the state of the art question answering (QA) systems. |
| Abstract | Most prior work focused on extracting only question answering sentences from user conversations. |
| Introduction | Automatic Question Answering (QA) systems rely heavily on good sources of data that contain questions and answers. |
| Introduction | Question answering forums, such as technical support forums, are places where users find answers through conversations. |
| Introduction | Because of their nature as online communities, question answering forums provide more updated answers to new problems. |
| Related Work | This knowledge source could substantially help automatic question answering systems. |
| Related Work | An approach using email structure to detect and summarize question answer pairs was introduced in (Shrestha and Mck-eown, 2004). |
| Related Work | In this paper, in order to provide a better foundation for question answer detection in online forums, we investigate tagging sentences with a much richer set of categories, as well as identifying their dependency relationships. |