This paper presents an overview of our framework for searching and retrieving facts and relationships within natural language text sources. In this framework, an extraction task o...
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
The common paradigm of searching and retrieving information on the Web is based on keyword-based search using one or more search engines, and then browsing through the large numbe...
This paper presents a flexible way in which a deisgn model extracted from Java programs can remain unified with the source code. Each entity declaration and reference in the Java ...