The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation

610 indexed citations
published 2004

Countries where authors are citing The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation

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Citations

This map shows the geographic impact of The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation more than expected).

Fields of papers citing The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation.

About The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation

This paper, published in 2004, received 610 indexed citations . Written by George R. Doddington, Mark A. Przybocki, Lance Ramshaw, Stephanie Strassel and Ralph Weischedel covering the research area of Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (584 citations), Information Systems (87 citations) and Molecular Biology (81 citations). Published in Language Resources and Evaluation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/w12300547.

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