AIMC Topic:
Semantics

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T-GOWler: Discovering Generalized Process Models Within Texts.

Journal of computational biology : a journal of computational molecular cell biology
Contemporary workflow management systems are driven by explicit process models specifying the interdependencies between tasks. Creating these models is a challenging and time-consuming task. Existing approaches to mining concrete workflows into model...

BIOSSES: a semantic sentence similarity estimation system for the biomedical domain.

Bioinformatics (Oxford, England)
MOTIVATION: The amount of information available in textual format is rapidly increasing in the biomedical domain. Therefore, natural language processing (NLP) applications are becoming increasingly important to facilitate the retrieval and analysis o...

Characterization of Change and Significance for Clinical Findings in Radiology Reports Through Natural Language Processing.

Journal of digital imaging
We built a natural language processing (NLP) method to automatically extract clinical findings in radiology reports and characterize their level of change and significance according to a radiology-specific information model. We utilized a combination...

Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis.

American journal of speech-language pathology
PURPOSE: This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences...

Semantic closure demonstrated by the evolution of a universal constructor architecture in an artificial chemistry.

Journal of the Royal Society, Interface
We present a novel stringmol-based artificial chemistry system modelled on the universal constructor architecture (UCA) first explored by von Neumann. In a UCA, machines interact with an abstract description of themselves to replicate by copying the ...

Semantics derived automatically from language corpora contain human-like biases.

Science (New York, N.Y.)
Machine learning is a means to derive artificial intelligence by discovering patterns in existing data. Here, we show that applying machine learning to ordinary human language results in human-like semantic biases. We replicated a spectrum of known b...

Using Semantic Technologies to Extract Highlights from Care Notes.

Studies in health technology and informatics
We propose a cognitive system for patient-centric care that leverages and combines natural language processing, semantics, and learning from users over time to support care professionals working with large volumes of patient notes. The proposed metho...

Concept Embedding for Relevance Detection of Search Queries Regarding CHOP.

Studies in health technology and informatics
Automatic encoding of diagnosis and procedures can increase the interoperability and efficacy of the clinical cooperation. The concept, rule-based and machine learning classification methods for automatic code generation can easily reach their limit ...

CD-KES: An Ontology Based Knowledge Education System for Patients with Chronic Diseases and Its Constructing Approach.

Studies in health technology and informatics
Patients' participation plays a crucial role in the management of chronic diseases. Educating patients about their diseases allows patients to self-regulate their daily health conditions more reasonably and effectively. This study focuses on an infor...

From Patient Discharge Summaries to an Ontology for Psychiatry.

Studies in health technology and informatics
Psychiatry aims at detecting symptoms, providing diagnoses and treating mental disorders. We developed ONTOPSYCHIA, an ontology for psychiatry in three modules: social and environmental factors of mental disorders, mental disorders, and treatments. T...