AIMC Topic: Natural Language Processing

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Compound Classification and Consideration of Correlation with Chemical Descriptors from Articles on Antioxidant Capacity Using Natural Language Processing.

Journal of chemical information and modeling
In recent times, there has been a substantial increase in the number of articles focusing on antioxidants. However, the development of a comprehensive estimator for antioxidant capacity remains elusive due to the challenge of integrating information ...

Use of Natural Language Processing to Identify Sexual and Reproductive Health Information in Clinical Text.

Methods of information in medicine
OBJECTIVES: This study aimed to enable clinical researchers without expertise in natural language processing (NLP) to extract and analyze information about sexual and reproductive health (SRH), or other sensitive health topics, from large sets of cli...

Quantifying confidence shifts in a BERT-based question answering system evaluated on perturbed instances.

PloS one
Recent work on transformer-based neural networks has led to impressive advances on multiple-choice natural language processing (NLP) problems, such as Question Answering (QA) and abductive reasoning. Despite these advances, there is limited work stil...

Language with vision: A study on grounded word and sentence embeddings.

Behavior research methods
Grounding language in vision is an active field of research seeking to construct cognitively plausible word and sentence representations by incorporating perceptual knowledge from vision into text-based representations. Despite many attempts at langu...

BioEGRE: a linguistic topology enhanced method for biomedical relation extraction based on BioELECTRA and graph pointer neural network.

BMC bioinformatics
BACKGROUND: Automatic and accurate extraction of diverse biomedical relations from literature is a crucial component of bio-medical text mining. Currently, stacking various classification networks on pre-trained language models to perform fine-tuning...

[Significance of natural language processing and chat-based generative language models].

Medizinische Klinik, Intensivmedizin und Notfallmedizin
BACKGROUND: Natural language processing (NLP) has experienced significant growth in recent years and shows potential for broad impacts in scientific research and clinical practice.

Using sequences of life-events to predict human lives.

Nature computational science
Here we represent human lives in a way that shares structural similarity to language, and we exploit this similarity to adapt natural language processing techniques to examine the evolution and predictability of human lives based on detailed event se...

Fine-tuning coreference resolution for different styles of clinical narratives.

Journal of biomedical informatics
OBJECTIVE: Coreference resolution (CR) is a natural language processing (NLP) task that is concerned with finding all expressions within a single document that refer to the same entity. This makes it crucial in supporting downstream NLP tasks such as...

Applications of natural language processing at emergency department triage: A narrative review.

PloS one
INTRODUCTION: Natural language processing (NLP) uses various computational methods to analyse and understand human language, and has been applied to data acquired at Emergency Department (ED) triage to predict various outcomes. The objective of this ...

Fusion Modeling: Combining Clinical and Imaging Data to Advance Cardiac Care.

Circulation. Cardiovascular imaging
In addition to the traditional clinical risk factors, an increasing amount of imaging biomarkers have shown value for cardiovascular risk prediction. Clinical and imaging data are captured from a variety of data sources during multiple patient encoun...