Skip to main content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Search Publications by Ellen M. Voorhees

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 1 - 25 of 73

Using Replicates in Information Retrieval Evaluation

Author(s)
Ellen M. Voorhees, Daniel V. Samarov, Ian M. Soboroff
This paper explores a method for more accurately estimating the main effect of the system in a typical test-collection-based evaluation of information retrieval

Promoting Repeatability Through Open Runs

Author(s)
Ellen M. Voorhees, Shahzad K. Rajput, Ian M. Soboroff
TREC 2015 introduced the concept of ‘Open Runs’ in response to the increasing focus on repeatability of information retrieval experiments. An Open Run is a TREC

On Run Diversity in "Evaluation as a Service"

Author(s)
Ellen M. Voorhees
"Evaluation as a service" (EaaS) is a new methodology that enables community-wide evaluations and the construction of test collections on documents that cannot

The TREC Medical Records Track

Author(s)
Ellen M. Voorhees
The Text REtrieval Conference (TREC) is a series of annual workshops designed to build the infrastructure for large-scale evaluation of search systems and thus

Overview of the TREC 2012 Medical Records Track

Author(s)
Ellen M. Voorhees, William Hersh
The TREC Medical Records track fosters research that allows electronic health records to be retrieved based on the semantic content of free-text fields. The

Text Retrieval Conference (TREC)

Author(s)
Ellen M. Voorhees
This article summarizes the history, results, and impact of the Text Retrieval Conference (TREC), a workshop series designed to support the information

TREC Genomics Special Issue---Information Retrieval

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

Overview of TREC 2006

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

Bias and the Limits of Pooling for Large Collections

Author(s)
C E. Buckley, Darrin L. Dimmick, Ian M. 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

The Fifth Text Retrival Conference [TREC-5]

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

Overview of the TREC 2005 Robust Retrieval Track

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

Overview of the TREC 2005 Question Answering Track

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

Overview of TREC 2005

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

TREC: An Overview

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

Report on the TREC-5 Confusion Track

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