Nick Cramer

Pacific Northwest National Laboratory | PNNL · Computational and Statistical Analytics Division

This paper introduces a novel and domain-independent method for automatically extracting keywords, as sequences of one or more words, from individual documents. We describe the methods configuration parameters and algorithm, and present an evaluation on a benchmark corpus of technical abstracts. We also present a method for generating lists of stop...

"Text streams--collections of documents or messages that are generated and observed over time--are ubiquitous. Our research and development are targeted at developing algorithms to find and characterize changes in topic within text streams. To date, this research has demonstrated the ability to detect and describe 1) short duration, atypical events...

This paper summarizes algorithms and analysis methodology for mining the evolving content in text streams. Text streams include news, press releases from organizations, speeches, Internet blogs, etc. These data are a fundamental source for detecting and characterizing strategic intent of individuals and organizations as well as for detecting abrupt...

In recent years, one of the advances of the World Wide Web is social media and one of the fastest growing aspects of social media is the blogosphere. Blogs make content creation easy and are highly accessible through web pages and syndication. With their growing influence, a need has arisen to be able to monitor the opinions and insight revealed wi...

While one of the oldest pursuits in computational linguistics (see Bar-Hillel, 1951), machine translation (MT) remains an unsolved problem. While current research has progressed a great deal, technology transfer to end users is limited. In this demo, we present a visualization tool for manipulating foreign language data. Using software developed fo...

The Universal Parsing Agent (UPA) is a document analysis and transformation program that supports massive scale conversion of information into forms suitable for the semantic web. UPA provides reusable tools to analyze text documents; identify and extract important information elements; enhance text with semantically descriptive tags; and output th...

The Universal Parsing Agent (UPA) is a document analysis and transformation program that supports massive scale conversion of information into forms suitable for the semantic web. UPA provides reusable tools to analyze text documents; identify and extract important information elements; enhance text with semantically descriptive tags; and output th...

This is the first part (summary) of a three-part contest entry submitted to IEEE InfoVis 2004. The contest topic is visualizing InfoVis symposium papers from 1995 to 2002 and their references. The paper introduces the visualization tool IN-SPIRE, the visualization process and results, and presents lessons learned.

This paper introduces the Human Information Workspace (HI-Space) as a test-bed for evaluating new information exploration mechanisms. In moving from dated interaction devices and small computer monitors, we aim to utilize more natural surfaces such as tables and walls as our interaction space. In testing our theories, we have produced a number of g...

Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeric data items, and may be highly structured or mostly freeform text. This project aims to create a high performance and scalable engine for locating relevant content in dat...

Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeric data items, and may be highly structured or mostly freeform text. This project aims to create a high performance and scalable engine for locating relevant content in dat...

WebTheme combines the power of software agent-based information retrieval with visual analytics to provide users with a new tool for understanding web information. WebTheme allows users to both quickly comprehend large collections of information from the Web and drill down into interesting portions of a collection. Software agents work for users to...

Faceted classifications of text collections provide a useful means of partitioning documents into related groups, however traditional approaches of faceting text collections rely on comprehensive analysis of the subject area or annotated general attributes. In this paper we show the application of basic principles for facet analysis to the developm...