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    CADET: Computer Assisted Discovery Extraction and Translation 

    Durme, Benjamin Van; Lippincott, Tom; Duh, Kevin; Burchfield, Deana; Poliak, Adam; Costello, Cash; Finin, Tim; Miller, Scott; Mayfield, James; Koehn, Philipp; Harmon, Craig; Lawrie, Dawn; May, Chandler; Thomas, Max; Carrell, Annabelle; Chaloux, Julianne (2017-11-27)
    Computer Assisted Discovery Extraction and Translation (CADET) is a workbench for helping knowledge workers find, label, and translate documents of interest. It combines a multitude of analytics together with a flexible ...
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    Participation in TAC KBP 2017: Cold Start TEDL and Low-resource EDL 

    Finin, Tim; Lawrie, Dawn; Mayfield, James; McNamee, Paul; Costello, Cash
    The JHU HLTCOE participated in the Cold Start and the edl tasks of the 2017 Text Analysis Conference Knowledge Base Population evaluation. For our sixth year of participation in Cold Start we continued our research with ...
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    HLTCOE Participation in TAC KBP 2016: Cold Start and EDL 

    Finin, Tim; Lawrie, Dawn; Mayfield, James; McNamee, Paul; Laspesa, Jessa; Latman, Micheal (National Institute of Standards and Technology, 2016-11-14)
    The JHU HLTCOE participated in the Cold Start and the Entity Discovery and Linking tasks of the 2016 Text Analysis Conference Knowledge Base Population evaluation. For our fifth year of participation in Cold Start we ...
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    UMBC at SemEval-2018 Task 8: Understanding Text about Malware 

    Padia, Ankur; Roy, Arpita; Satyapanich, Taneeya W.; Ferraro, Francis; Pan, Shimei; Park, Youngja; Joshi, Anupam; Finin, Tim (2018-06-05)
    We describe the systems developed by the UMBC team for 2018 SemEval Task 8, SecureNLP (Semantic Extraction from CybersecUrity REports using Natural Language Processing). We participated in three of the sub-tasks: (1) ...
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    Interactive Knowledge Base Population 

    Wolfe, Travis; Dredze, Mark; Mayfield, James; McNamee, Paul (2015-05-15)
    Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible. We argue for and describe a new paradigm where the focus is on a high-recall extraction ...
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    Extracting cybersecurity related linked data from text 

    Joshi, Arnav; Lal, Ravendar; Finin, Tim; Joshi, Anupam (IEEE Computer Society Press, 2013-09-16)
    The Web is typically our first source of information about new software vulnerabilities, exploits and cyber-attacks. Information is found in semi-structured vulnerability databases as well as in text from security bulletins, ...
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    KELVIN: a tool for automated knowledge base construction 

    McNamee, Paul; Mayfield, James; Finin, Tim; Oates, Tim; Lawrie, Dawn; Xu, Tan; Oard, Doug (2013-06-03)
    We present KELVIN, an automated system for processing a large text corpus and distilling a knowledge base about persons, organizations, and locations. We have tested the KELVIN system on several corpora, including: (a) the ...
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    A Collaborative Approach to Situational Awareness for CyberSecurity 

    Mathews, M. Lisa; Halvorsen, Paul; Joshi, Anupam; Finin, Tim (IEEE, 2012-10-14)
    Traditional intrusion detection and prevention systems have well known limitations that decrease their utility against many kinds of attacks. Creating a new system that collaboratively combines information from traditional ...
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    Evaluating the Quality of a Knowledge Base Populated from Text 

    Mayfield, James; Finin, Tim (ACM, 2012-06-07)
    The steady progress of information extraction systems has been helped by sound methodologies for evaluating their performance in controlled experiments. Annual events like MUC, ACE and TAC have developed evaluation approaches ...
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    HLTCOE Approaches to Knowledge Base Population at TAC 2009 

    McNamee, Paul; Dredze, Mark; Gerber, Adam; Garera, Nikesh; Finin, Tim; Mayfield, James; Piatko, Christine; Rao, Delip; Yarowsky, David; Dreyer, Markus (National Institute of Standards and Technology, 2009-11-01)
    The HLTCOE participated in the entity linking and slot filling tasks at TAC 2009. A machine learning-based approach to entity linking, operating over a wide range of feature types, yielded good performance on the entity ...
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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.

     

     

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    AuthorFinin, Tim (17)Mayfield, James (9)McNamee, Paul (7)Joshi, Anupam (6)Lawrie, Dawn (5)Dredze, Mark (4)Syed, Zareen (3)Xu, Tan (3)Costello, Cash (2)Garera, Nikesh (2)... View MoreSubject
    information extraction (19)
    UMBC Ebiquity Research Group (19)natural language processing (14)knowledge base (5)semantic web (4)cybersecurity (3)entity linking (3)intrusion detection (2)KELVIN (2)knowledge graph (2)... View MoreDate Issued2010 - 2018 (15)2007 - 2009 (3)Has File(s)Yes (12)No (7)


    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.