Browsing Tetherless World Publications by Author "Ji, Heng"
Now showing items 1-8 of 8
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Cross-media Event Extraction and Recommendation
Lu, Di; Si, Mei; Voss, Claire R.; Tao, Fangbo; ren, Xiang; Guan, Rachel; Korolov, Rostyslav; Ji, Heng; Hendler, James A. (Association for Computational Linguistics, 2016)The sheer volume of unstructured multimedia data (e.g., texts, images, videos) posted on the Web during events of general interest is overwhelming and difficult to distill if seeking information relevant to a particular ... -
Deconstructing Intensive Care Unit Triage: Identifying Factors Influencing Admission Decisions Using Natural Language Processing and Semantic Technology
Mathews, K.S.; Liu, Y; Ji, Heng; McGuinness, Deborah L. (American Thoracic Society, 2015) -
Entity Linking for Biomedical Literature
Zheng, Jin; Howsmon, Daniel; Zhang, Boliang; Hahn, Juergen; McGuinness, Deborah L.; Hendler, James A.; Ji, Heng (2014-11-07)The Entity Linking (EL) task links entity mentions from an unstructured document to entities in a knowledge base. Although this problem is well-studied in news and social media, this problem has not received much attention ... -
Entity linking for biomedical literature
Zheng, Jin; Howsmon, Daniel; Zhang, Boliang; Hahn, Juergen; McGuinness, Deborah L.; Hendler, James A.; Ji, Heng (BMC Medical Informatics and Decision Making, 2015-05-20)Background The Entity Linking (EL) task links entity mentions from an unstructured document to entities in a knowledge base. Although this problem is well-studied in news and social media, this problem has not received ... -
Language and Domain Independent Entity Linking with Quantified Collective Validation
Wang, Han; Zheng, Jin; Ma, Xiaogang; Fox, Peter; Ji, Heng (2015-09-17)Linking named mentions detected in a source document to an existing knowl- edge base provides disambiguated entity referents for the mentions. This allows better document analysis, knowledge ex- traction and knowledge base ... -
Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems
Huang, Lifu; May, Jonathan; Pan, Xiaoman; Ji, Heng; Ren, Xiang; Han, Jiawei; Zhao, Lin; Hendler, James A. (Mary Ann Liebert, Inc., 2017)The ability of automatically recognizing and typing entities in natural language without prior knowledge (e.g., predefined entity types) is a major challenge in processing such data. Most existing entity typing systems are ... -
Perceptions of Triage and Care for Critically Ill Patients in the ED: A national survey of emergency physicians
Mathews, Kusum; Liu, Yue; Ji, Heng; McGuinness, Deborah L. (2015-05-01)Physician logs of Medical ICU admission requests, which included clinical presentation and triage decisions, were prospectively collected over one year at an academic tertiary care center. Patient characteristics, University ... -
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
Liu, Yue; Zhang, Tongtao; Liang, Jason; Ji, Heng; McGuinness, Deborah L. (2018-10-01)We present an end-to-end approach that takes unstructured textual input and generates structured output compliant with a given vocabulary. We treat the triples within a given knowledge graph as an independent graph language ...