AIMC Topic: Semantics

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A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Clinical Named Entity Recognition (NER) is a critical task for extracting important patient information from clinical text to support clinical and translational research. This study explored the neural word embeddings derived from a large unlabeled c...

Recognizing Disjoint Clinical Concepts in Clinical Text Using Machine Learning-based Methods.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Clinical concept recognition (CCR) is a fundamental task in clinical natural language processing (NLP) field. Almost all current machine learning-based CCR systems can only recognize clinical concepts of consecutive words (called consecutive clinical...

Knowledge Extraction from MEDLINE by Combining Clustering with Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The identification of relevant predicates between co-occurring concepts in scientific literature databases like MEDLINE is crucial for using these sources for knowledge extraction, in order to obtain meaningful biomedical predications as subject-pred...

COHeRE: Cross-Ontology Hierarchical Relation Examination for Ontology Quality Assurance.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Biomedical ontologies play a vital role in healthcare information management, data integration, and decision support. Ontology quality assurance (OQA) is an indispensable part of the ontology engineering cycle. Most existing OQA methods are based on ...

Characterization of the Context of Drug Concepts in Research Protocols: An Empiric Study to Guide Ontology Development.

AMIA ... Annual Symposium proceedings. AMIA Symposium
We examined a large body of research study documents (protocols) to identify mentions of drug concepts and established base concepts and roles needed to characterize the semantics of these instances. We found these concepts in three general situation...

Ontology-Based Search of Genomic Metadata.

IEEE/ACM transactions on computational biology and bioinformatics
The Encyclopedia of DNA Elements (ENCODE) is a huge and still expanding public repository of more than 4,000 experiments and 25,000 data files, assembled by a large international consortium since 2007; unknown biological knowledge can be extracted fr...

A-DaGO-Fun: an adaptable Gene Ontology semantic similarity-based functional analysis tool.

Bioinformatics (Oxford, England)
SUMMARY: Gene Ontology (GO) semantic similarity measures are being used for biological knowledge discovery based on GO annotations by integrating biological information contained in the GO structure into data analyses. To empower users to quickly com...

Semantic biomedical resource discovery: a Natural Language Processing framework.

BMC medical informatics and decision making
BACKGROUND: A plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and biomedical tools. The main dra...

Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning.

IEEE transactions on cybernetics
Recently, many biologically inspired visual computational models have been proposed. The design of these models follows the related biological mechanisms and structures, and these models provide new solutions for visual recognition tasks. In this pap...