Statistical source expansion for question answering
Nico Schlaefer, Jennifer Chu‐Carroll, Eric Nyberg, James Fan, Wlodek Zadrozny, David A. Ferrucci · 2011
A source expansion algorithm automatically extends a given text corpus with related content from large external sources such as the Web. The expanded corpus is not intended for human consumption but can be used in question answering (QA) and other information retrieval or extraction tasks to find more relevant information and supporting evidence. We propose an algorithm that extends a corpus of seed documents with web content, using a statistical model to select text passages that are both relevant to the topics of the seeds and complement existing information.