Amplifying Community Content Creation

Figure 1: We envision the synergistic pairing of automated information extraction with community content creation, using the same edits to accelerate both feedback cycles. ABSTRACT Modern web search and browsing interfaces often leverage the structure of Web content. In our work we explore the synergistic pairing of information extraction and community content creation as two interlocking feedback cycles for generating structured information. Using the Wikipedia community as a case study, we examine the challenge of simultaneously addressing the needs and norms of both learning-based information extraction and social communities. We then develop and explore several approaches to inviting contribution to a community, each presenting ambiguity resolution as a non-primary task.