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Search Publications by: Ellen M. Voorhees (Assoc)

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Displaying 51 - 75 of 170

TREC Genomics Special Issue---Information Retrieval

November 10, 2008
Author(s)
Ellen M. Voorhees, William Hersh
This paper is the introductory paper for a special issue of the journal Information Retrieval devoted to the TREC genomics track. The TREC genomics track ran from 2003 to 2007 and was one of the largest and longest-running challenge evaluations in

On Test Collections for Adaptive Information Retrieval

March 17, 2008
Author(s)
Ellen M. Voorhees
Traditional Cranfield test collections represent an abstraction of a retrieval task that Sparck Jones calls the core competency of retrieval: a task that is necessary, but not sufficient, for user retrieval tasks. The abstraction facilitates research by

Overview of TREC 2006

November 26, 2007
Author(s)
Ellen M. Voorhees
This report provides an overview of the fifteenth Text REtrieval Conference, TREC 2006. TREC 2006 was held at NIST on November 16-19, 2006. The conference was cosponsored by NIST and the Disruptive Technology Office (DTO). The conference attracted 107

TREC: Continuing Information Retrieval's Tradition of Experimentation

November 26, 2007
Author(s)
Ellen M. Voorhees
This article provides a high-level overview of the history, results and impact of NIST's Text REtrieval Conference (TREC). The article will appear in a special issue of the Communications of the ACM devoted to experimentation in computer science.

Bias and the Limits of Pooling for Large Collections

July 17, 2007
Author(s)
C E. Buckley, Darrin L. Dimmick, Ian Soboroff, Ellen M. Voorhees
Modern retrieval test collections are built through a process called pooling in which only a sample of the entire document set is judged for each topic. The idea behind pooling is to find enough relevant documents such that when unjudged documents are

The Fifth Text Retrival Conference [TREC-5]

October 30, 2006
Author(s)
Ellen M. Voorhees, Donna K. Harman
This paper is the track report for the TREC-5 confusion track. For TREC-5, retrieval from corrupted data was studied through retrieval of specific target documents from a corpus that was corrupted by applying OCR techniques to page images of varying

Overview of the TREC 2005 Robust Retrieval Track

October 16, 2006
Author(s)
Ellen M. Voorhees
The robust retrieval track explores methods for improving the consistency of retrieval technology by focusing on poorly performing topics. The retrieval task in the track is a traditional ad~hoc retrieval task where the evaluation methodology emphasizes a

Overview of the TREC 2005 Question Answering Track

October 2, 2006
Author(s)
Ellen M. Voorhees, Hoa T. Dang
The TREC 2005 Question Answering (QA) track contained three tasks: the main question answering task, the document ranking task, and the relationship task. In the main task, question series were used to define a set of targets. Each series was about a

Overview of TREC 2005

May 17, 2006
Author(s)
Ellen M. Voorhees
The fourteenth Text REtrieval Conference, TREC 2005, was held at the National Institute of Standards and Technology (NIST) November 15--18, 2005. The conference was co-sponsored by NIST and the US Department of Defense Advanced Research and Development

TREC: An Overview

February 17, 2006
Author(s)
Donna K. Harman, Ellen M. Voorhees
The Text REtrieval Conference (TREC) is a workshop series designed to build the infrastructure necessary for large-scale evaluation of text retrieval technology. Participants in the workshops (over 100 groups in the latest TREC) have been drawn from the

Report on the TREC-5 Confusion Track

October 24, 2005
Author(s)
Paul B. Kantor, Ellen M. Voorhees
This paper is the track report for the TREC-5 confusion track. For TREC-5, retrieval from corrupted data was studied through retrieval of specific target documents from a corpus that was corrupted by applying OCR techniques to page images of varying

The TREC-5 Database Merging Track

October 24, 2005
Author(s)
Ellen M. Voorhees
This paper is the track report for the TREC-5 database merging track. The report motivates the database merging problem, defines the task performed by the participants in detail, and summarizes the main results of the track.