Browsing by Author "Dorr, Bonnie"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
Item Cross-Document Coreference Resolution: A Key Technology for Learning by Reading(AAAI, 2009-03-23) Mayfield, James; Alexander, David; Dorr, Bonnie; Eisner, Jason; Elsayed, Tamer; Finin, Tim; Fink, Clay; Freedman, Marjorie; Garera, Nikesh; McNamee, Paul; Mohammad, Saif; Oard, Douglas; Piatko, Christine; Sayeed, Asad; Syed, Zareen; Weischedel, Ralph; Xu, Tan; Yarowsky, DavidAutomatic knowledge base population from text is an important technology for a broad range of approaches to learning by reading. Effective automated knowledge base population depends critically upon coreference resolution of entities across sources. Use of a wide range of features, both those that capture evidence for entity merging and those that argue against merging, can significantly improve machine learning-based cross-document coreference resolution. Results from the Global Entity Detection and Recognition task of the NIST Automated Content Extraction (ACE) 2008 evaluation support this conclusion.