Liyuan Zhou

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Word: The Impact of Word Representation on Sequence Labelling Tasks Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider and Timothy Baldwin 1 NICTA / Locked Bag 8001, ACT 2601, Australia 2 The Australian National University 3 The University of Melbourne, VIC 3010, Australia 4 University of Edinburgh, EH8 9AB, UK.(More)
BACKGROUND Over a tenth of preventable adverse events in health care are caused by failures in information flow. These failures are tangible in clinical handover; regardless of good verbal handover, from two-thirds to all of this information is lost after 3-5 shifts if notes are taken by hand, or not at all. Speech recognition and information extraction(More)
Polysaccharide TLH-3 from the fruit body of Tricholoma lobayense Heim has shown outstanding antioxidant activity. In order to further explore it, TLH-3 was successfully modified to obtain a sulfated derivative (STLH-3). The chemical characteristics of STLH-3 and TLH-3 were determined by high performance liquid chromatography and infrared spectroscopy.(More)
OBJECTIVE We study the use of speech recognition and information extraction to generate drafts of Australian nursing-handover documents. METHODS Speech recognition correctness and clinicians' preferences were evaluated using 15 recorder-microphone combinations, six documents, three speakers, Dragon Medical 11, and five survey/interview participants.(More)
Word: The Impact of Word Representation on Sequence Labelling Tasks Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider and Timothy Baldwin 1 NICTA, ACT 2601, Australia 2 The Australian National University 3 The University of Melbourne, VIC 3010, Australia 4 University of Edinburgh, EH8 9AB, UK.(More)
Cascaded speech recognition (SR) and information extraction (IE) could support the best practice for clinical handover and release clinicians’ time from writing documents to patient interaction and education. However, high requirements for processing correctness evoke methodological challenges and hence, processing correctness needs to be carefully(More)
During clinical handover, clinicians exchange information about the patients and the state of clinical management. To improve care safety and quality, both handover and its documentation have been standardized. Speech recognition and entity extraction provide a way to help health service providers to follow these standards by implementing the handover(More)
In named entity recognition, we often don’t have a large in-domain training corpus or a knowledge base with adequate coverage to train a model directly. In this paper, we propose a method where, given training data in a related domain with similar (but not identical) named entity (NE) types and a small amount of in-domain training data, we use transfer(More)
Polysaccharides from edible fungi usually exhibit many bioactivities. Our previous studies found that polysaccharide TLH-3 extracted from Tricholoma lobayense possessed noticeable antioxidant activity. To further explore its biological activities, the antioxidant and anti-aging activities of TLH-3 were evaluated in vitro and in vivo. The results of(More)