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Yikun Guo
Researcher at University of Sheffield
Publications - 18
Citations - 656
Yikun Guo is an academic researcher from University of Sheffield. The author has contributed to research in topics: Information extraction & Unified Medical Language System. The author has an hindex of 11, co-authored 18 publications receiving 605 citations.
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Journal ArticleDOI
Building a semantically annotated corpus of clinical texts
Angus Roberts,Robert Gaizauskas,Mark Hepple,George Demetriou,Yikun Guo,Ian Roberts,Andrea Setzer +6 more
TL;DR: The construction of a semantically annotated corpus of clinical texts for use in the development and evaluation of systems for automatically extracting clinically significant information from the textual component of patient records is described.
Proceedings Article
The CLEF Corpus: Semantic Annotation of Clinical Text
Angus Roberts,Robert Gaizauskas,Mark Hepple,Neil Davis,George Demetriou,Yikun Guo,Jay (Subbarao) Kola,Ian Roberts,Andrea Setzer,Archana Tapuria,Bill Wheeldin +10 more
TL;DR: An annotation methodology is described and encouraging initial results of inter-annotator agreement are reported, and Comparisons are made between different text sub-genres, and between annotators with different skills.
Proceedings ArticleDOI
Disambiguation of Biomedical Abbreviations
TL;DR: A WSD system that uses a variety of knowledge sources, including two types of information specific to the biomedical domain, is described and found to identify the correct expansion with up to 99% accuracy.
Journal ArticleDOI
Mining clinical relationships from patient narratives
TL;DR: It is shown that it is possible to extract important clinical relationships from text, using supervised statistical ML techniques, at levels of accuracy approaching those of human annotators.
Journal ArticleDOI
Disambiguation of biomedical text using diverse sources of information.
TL;DR: Disambiguation of biomedical terms benefits from the use of information from a variety of sources including linguistic features of the context in which the ambiguous term is used and domain-specific resources, such as UMLS.