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1
Is all-or-none forgetting of multi-modal lexical representations better maintained after retrieval practice compared to restudy? ...
Crowley, Rebecca. - : Open Science Framework, 2022
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2
Are multi-modal lexical representations forgotten in an all-or-none manner? ...
Crowley, Rebecca. - : Open Science Framework, 2022
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3
Are multi-modal lexical representations retrieved in an all-or-none manner? ...
Crowley, Rebecca. - : Open Science Framework, 2021
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4
Metacognitive scaffolds improve self-judgments of accuracy in a medical intelligent tutoring system
In: Instructional science. - Dordrecht ; Heidelberg [u.a.] : Springer Science + Business Media 42 (2014) 2, 159-181
OLC Linguistik
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5
A system for coreference resolution for the clinical narrative
Abstract: Objective To research computational methods for coreference resolution in the clinical narrative and build a system implementing the best methods. Methods The Ontology Development and Information Extraction corpus annotated for coreference relations consists of 7214 coreferential markables, forming 5992 pairs and 1304 chains. We trained classifiers with semantic, syntactic, and surface features pruned by feature selection. For the three system components—for the resolution of relative pronouns, personal pronouns, and noun phrases—we experimented with support vector machines with linear and radial basis function (RBF) kernels, decision trees, and perceptrons. Evaluation of algorithms and varied feature sets was performed using standard metrics. Results The best performing combination is support vector machines with an RBF kernel and all features (MUC score=0.352, B3=0.690, CEAF=0.486, BLANC=0.596) outperforming a traditional decision tree baseline. Discussion The application showed good performance similar to performance on general English text. The main error source was sentence distances exceeding a window of 10 sentences between markables. A possible solution to this problem is hinted at by the fact that coreferent markables sometimes occurred in predictable (although distant) note sections. Another system limitation is failure to fully utilize synonymy and ontological knowledge. Future work will investigate additional ways to incorporate syntactic features into the coreference problem. Conclusion We investigated computational methods for coreference resolution in the clinical narrative. The best methods are released as modules of the open source Clinical Text Analysis and Knowledge Extraction System and Ontology Development and Information Extraction platforms.
Keyword: Research and applications
URL: https://doi.org/10.1136/amiajnl-2011-000599
http://jamia.bmj.com/cgi/content/short/amiajnl-2011-000599v1
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6
Anaphoric relations in the clinical narrative: corpus creation
Savova, Guergana K; Chapman, Wendy W; Zheng, Jiaping. - : BMJ Publishing Group Ltd, 2011
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7
Coreference resolution: A review of general methodologies and applications in the clinical domain
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8
Heuristic Sample Selection to Minimize Reference Standard Training Set for a Part-Of-Speech Tagger
Liu, Kaihong; Chapman, Wendy; Hwa, Rebecca. - : American Medical Informatics Association, 2007
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