AIMC Topic: Semantics

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Automatic Annotation of French Medical Narratives with SNOMED CT Concepts.

Studies in health technology and informatics
Medical data is multimodal. In particular, it is composed of both structured data and narrative data (free text). Narrative data is a type of unstructured data that, although containing valuable semantic and conceptual information, is rarely reused. ...

OWL-NETS: Transforming OWL Representations for Improved Network Inference.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Our knowledge of the biological mechanisms underlying complex human disease is largely incomplete. While Semantic Web technologies, such as the Web Ontology Language (OWL), provide powerful techniques for representing existing knowledge, well-establi...

Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Recent years have seen increased worldwide popularity of e-cigarette use. However, the risks of e-cigarettes are underexamined. Most e-cigarette adverse event studies have achieved low detection rates due to limited subject sample sizes in...

Gene Ontology semantic similarity tools: survey on features and challenges for biological knowledge discovery.

Briefings in bioinformatics
Gene Ontology (GO) semantic similarity tools enable retrieval of semantic similarity scores, which incorporate biological knowledge embedded in the GO structure for comparing or classifying different proteins or list of proteins based on their GO ann...

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...