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Cleaning Noisy Knowledge Graphs
(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 ...
CADET: Computer Assisted Discovery Extraction and Translation
(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 ...
Participation in TAC KBP 2017: Cold Start TEDL and Low-resource EDL
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 ...
Deep Understanding of a Document's Structure
(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 ...
HLTCOE Participation in TAC KBP 2016: Cold Start and EDL
(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 ...
Understanding the Logical and Semantic Structure of Large Documents
(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 ...
Understanding and representing the semantics of large structured documents
(2018-10-08)
Understanding large, structured documents like scholarly articles, requests for proposals or business reports is a complex and difficult task. It involves discovering a document's overall purpose and subject(s), understanding ...
A Deep Learning Approach to Understanding Cloud Service Level Agreements
(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 ...
UMBC at SemEval-2018 Task 8: Understanding Text about Malware
(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) ...
A Unified Bayesian Model of Scripts, Frames and Language
(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 ...