Boston / Baltimore / New York / Atlanta / Nagoya / Mountain View / /
Company
B3 / Google Inc. / NY Google Inc. / /
Country
Japan / United States / / /
Event
Product Recall / Product Issues / /
Facility
Carnegie Mellon University / Prentice Hall / National Library of Medicine / University of Texas / /
IndustryTerm
coreference resolution systems / task systems / coreference resolution algorithms / open source software / possible mention detection algorithm / entity linking algorithm / natural language processing / computing / coreference algorithm / coreference systems / lower ranking systems / /
Organization
Harvard Medical School / American Medical Informatics Association / National Science Foundation / Carnegie Mellon University / Pittsburgh / University of Texas at Dallas / Association for Computational Linguistics / /
Person
James H. Martin / Olga Uryupina / Robert Belvin / Yuchen Zhang / Nancy Chinchor / Claire Cardie / John Burger / Xiaoqiang Luo / Vincent Ng / Beth Sundheim / Dennis Connolly / Sameer Pradhan / Tyler Forbush / Veselin Stoyanov / Chen Lin / Nathan Gilbert / Chris Potts / John Aberdeen / Ralph Weischedel / Timothy Miller / Lynette Hirschman / Martha Palmer / Chen Chen / John McCary / Daniel Jurafsky / Steven Bethard / George Doddington / Eduard Hovy / Ellen Riloff / Alessandro Moschitti / Michael Strube / Guergana Savova / Gordana Ilic Holen / Mitchell Marcus / Altaf Rahman / Marc Vilain / Alexis Mitchell / Mark Przybocki / Stephanie Strassel / Brad Erickson / Caitlin Christianson / John Pestian / Jie Cai / James Pustejovsky / William F. Styler / Lance Ramshaw / Marta Recasens / Nianwen Xue / /
Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation Sameer Pradhan1 , Xiaoqiang Luo2 , Marta Recasens3 , Eduard Hovy4 , Vincent Ng5 and Michael Strube6 1