The state-of-the-art in Named Entity Recognition relies on a combination of local features of the text and global knowledge to determine the types of the recognized entities. This...
We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
We present a text mining method called CORDER [4] which discovers social networks from an organization’s documents. CORDER finds relations between a target named entity and othe...
In this paper, we explore the role that attribution plays in shaping user reactions to content reuse, or remixing, in a large user-generated content community. We present two stud...
The major concern of this paper is the cultural ramification of the bibliographic conception of “authorship.” Beginning with Foucault’s question “what is an author” and ...