AIMC Topic: Natural Language Processing

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srBERT: automatic article classification model for systematic review using BERT.

Systematic reviews
BACKGROUND: Systematic reviews (SRs) are recognized as reliable evidence, which enables evidence-based medicine to be applied to clinical practice. However, owing to the significant efforts required for an SR, its creation is time-consuming, which of...

Self-Attention-Based Models for the Extraction of Molecular Interactions from Biological Texts.

Biomolecules
For any molecule, network, or process of interest, keeping up with new publications on these is becoming increasingly difficult. For many cellular processes, the amount molecules and their interactions that need to be considered can be very large. Au...

Intentional Observational Clinical Research Design: Innovative Design for Complex Clinical Research Using Advanced Technology.

International journal of environmental research and public health
The growing use of robots in nursing and healthcare facilities has prompted increasing research on human-robot interactions. However, specific research designs that can guide researchers to conduct rigorous investigations on human-robot interactions ...

Estimating redundancy in clinical text.

Journal of biomedical informatics
The current mode of use of Electronic Health Records (EHR) elicits text redundancy. Clinicians often populate new documents by duplicating existing notes, then updating accordingly. Data duplication can lead to propagation of errors, inconsistencies ...

Context-aware multi-token concept recognition of biological entities.

BMC bioinformatics
BACKGROUND: Concept recognition is a term that corresponds to the two sequential steps of named entity recognition and named entity normalization, and plays an essential role in the field of bioinformatics. However, the conventional dictionary-based ...

Natural language processing for cognitive therapy: Extracting schemas from thought records.

PloS one
The cognitive approach to psychotherapy aims to change patients' maladaptive schemas, that is, overly negative views on themselves, the world, or the future. To obtain awareness of these views, they record their thought processes in situations that c...

RTJTN: Relational Triplet Joint Tagging Network for Joint Entity and Relation Extraction.

Computational intelligence and neuroscience
Extracting entities and relations from unstructured sentences is one of the most concerned tasks in the field of natural language processing. However, most existing works process entity and relation information in a certain order and suffer from the ...

Identification of efflux proteins based on contextual representations with deep bidirectional transformer encoders.

Analytical biochemistry
Efflux proteins are the transport proteins expressed in the plasma membrane, which are involved in the movement of unwanted toxic substances through specific efflux pumps. Several studies based on computational approaches have been proposed to predic...

Research on Volleyball Video Intelligent Description Technology Combining the Long-Term and Short-Term Memory Network and Attention Mechanism.

Computational intelligence and neuroscience
With the development of computer technology, video description, which combines the key technologies in the field of natural language processing and computer vision, has attracted more and more researchers' attention. Among them, how to objectively an...

Exploring self-generated thoughts in a resting state with natural language processing.

Behavior research methods
The present study seeks to examine individuals' stream of thought in real time. Specifically, we asked participants to speak their thoughts freely out loud during a typical resting-state condition. We first examined the feasibility and reliability of...