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Recognizing Ultra Fine-grained Entities (RUFES) 2020U.S. National Institute of Standards and Technology (NIST) With support from: U.S. Department of Defense OverviewThe goal of TAC-KBP is to extract mentions of pre-defined entity types from any language, and cluster together mentions of the same entity. Many real world applications in scenarios such as disaster relief and technical support require systems that recognize a wide variety of entity types (e.g., technical terms, lawsuits, disease, crisis, vehicles, food, biomedical entities) with limited training data for each type. The KBP2020 RUFES task (Recognizing Ultra Fine-grained EntitieS) challenges systems to recognize name, nominal, and pronominal mentions of entities in news articles, from a newly developed ontology with over 200 types that cover a variety of topics in the news. In addition, humans will provide "feedback" on system output, which can be used to improve each system. Mailing ListThe mailing list for the KBP 2020 RUFES task is tac-kbp@list.nist.gov. Participants may join the mailing list by joining the tac-kbp Google Group. Group members will receive messages that are sent to the group mailing list. Messages to the mailing list should be sent to tac-kbp@list.nist.gov. A Google account (not necessarily a Gmail account) is required to join the group. Participants without a Google account who wish to join the mailing list should send a message to tac-manager@nist.gov with the subject line "subscribe tac-kbp". Registering to participate in the track does not automatically add you to the mailing list. If you were previously subscribed to the mailing list, you do not have to re-subscribe (the mailing list is for anyone interested in KBP at TAC, and thus carries over from year to year).Organizing Committee
Avi Sil (Coordinator, IBM Research AI, avi@us.ibm.com) Hoa Trang Dang (U.S. National Institute of Standards and Technology, hoa.dang@nist.gov) Shudong Huang (U.S. National Institute of Standards and Technology, shudong.huang@nist.gov) Joel Nothman (University of Sydney, joel@it.usyd.edu.au) Ian Soboroff (U.S. National Institute of Standards and Technology, ian.soboroff@nist.gov) Scientific Board
Mausam (Indian Institute of Technology Delhi) |
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Last updated: Wednesday, 16-Sep-2020 13:16:58 UTC
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