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    Cleaning Noisy Knowledge Graphs 

    Padia, Ankur (CEUR Workshop Proceedings, 2017-10-22)
    My dissertation research is developing an approach to identify and explain errors in a knowledge graph constructed by extracting entities and relations from text. Information extraction systems can automatically construct ...
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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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    Deep Understanding of a Document's Structure 

    Rahman, Muhammad Mahbubur; Finin, Tim (ACM, 2017-12-05)
    Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews and discussion forum discussions. Understanding and extracting information from large documents ...
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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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    Understanding the Logical and Semantic Structure of Large Documents 

    Rahman, Muhammad Mahbubur (SIAM, 2017-04-27)
    Up-to-the-minute language understanding approaches are mostly focused on small documents such as newswire articles, blog posts, product reviews and discussion forum en- tries. Understanding and extracting information from ...
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    A Deep Learning Approach to Understanding Cloud Service Level Agreements 

    Saha, Srishty; Joshi, Karuna Pande; Gupta, Aditi (2017-05-24)
    Educational organizations, like Universities and School Systems, are rapidly adopting Cloud based services to provide Information Technology (IT) infrastructure to their students. These include course offerings, class ...
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    A Unified Bayesian Model of Scripts, Frames and Language 

    Ferraro, Francis; Durme, Benjamin Van (AAAI Press, 2016-02-12)
    We present the first probabilistic model to capture all levels of the Minsky Frame structure, with the goal of corpus-based induction of scenario definitions. Our model unifies prior efforts in discourse-level modeling ...
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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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    Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity systems 

    Kashyap, Abhay L.; Han, Lushan; Yus, Roberto; Sleeman, Jennifer; Satyapanich, Taneeya W.; Gandhi, Sunil R.; Finin, Tim (Association for Computational Linguistics, 2014-08-23)
    We describe UMBC's systems developed for the SemEval 2014 tasks on Multilingual Semantic Textual Similarity (Task 10) and Cross-Level Semantic Similarity (Task 3). Our best submission in the Multilingual task ranked second ...
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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 (25)Mayfield, James (12)McNamee, Paul (10)Joshi, Anupam (6)Lawrie, Dawn (6)Syed, Zareen (5)Dredze, Mark (4)Ferraro, Francis (4)Han, Lushan (4)Java, Akshay (3)... View MoreSubject
    natural language processing (39)
    UMBC Ebiquity Research Group (34)information extraction (14)learning (8)semantic web (6)knowledge base (5)semantics (4)knowledge graph (3)language (3)deep learning (2)... View MoreDate Issued2010 - 2019 (27)2006 - 2009 (9)Has File(s)Yes (21)No (18)


    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.