Cargando…

Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation

Algorithmic automatic item generation can be used to obtain large quantities of cognitive items in the domains of knowledge and aptitude testing. However, conventional item models used by template-based automatic item generation techniques are not ideal for the creation of items for non-cognitive co...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hommel, Björn E., Wollang, Franz-Josef M., Kotova, Veronika, Zacher, Hannes, Schmukle, Stefan C.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer US 2021
Materias:	Application Reviews and Case Studies
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166894/ https://www.ncbi.nlm.nih.gov/pubmed/34907497 http://dx.doi.org/10.1007/s11336-021-09823-9

Ejemplares similares

hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo framework
por: Abo, Ryan, et al.
Publicado: (2008)

Generalization of finetuned transformer language models to new clinical contexts
por: Xie, Kevin, et al.
Publicado: (2023)

A transformation-based method for auditing the IS-A hierarchy of biomedical terminologies in the Unified Medical Language System
por: Zheng, Fengbo, et al.
Publicado: (2020)

Expert-level sleep scoring with deep neural networks
por: Biswal, Siddharth, et al.
Publicado: (2018)

The interactive reading task: Transformer-based automatic item generation
por: Attali, Yigal, et al.
Publicado: (2022)

PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts
por: Armengol-Estapé, Jordi, et al.
Publicado: (2019)

Deep neural networks ensemble for detecting medication mentions in tweets
por: Weissenbacher, Davy, et al.
Publicado: (2019)

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks
por: Alawad, Mohammed, et al.
Publicado: (2019)

Using natural language processing to construct a metastatic breast cancer cohort from linked cancer registry and electronic medical records data
por: Ling, Albee Y, et al.
Publicado: (2019)

Unified Medical Language System resources improve sieve-based generation and Bidirectional Encoder Representations from Transformers (BERT)–based ranking for concept normalization
por: Xu, Dongfang, et al.
Publicado: (2020)

SyntaLinker: automatic fragment linking with deep conditional transformer neural networks
por: Yang, Yuyao, et al.
Publicado: (2020)

ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
por: Wilkerson, Matthew D., et al.
Publicado: (2010)

ABACAS: algorithm-based automatic contiguation of assembled sequences
por: Assefa, Samuel, et al.
Publicado: (2009)

ASSIsT: an automatic SNP scoring tool for in- and outbreeding species
por: Di Guardo, Mario, et al.
Publicado: (2015)

SGI: automatic clinical subgroup identification in omics datasets
por: Buyukozkan, Mustafa, et al.
Publicado: (2021)

Transform-MinER: transforming molecules in enzyme reactions
por: Tyzack, Jonathan D, et al.
Publicado: (2018)

Preferred Reporting Items for Studies Mapping onto Preference-Based Outcome Measures: The MAPS Statement
por: Petrou, Stavros, et al.
Publicado: (2015)

Deep learning based neural network application for automatic ultrasonic computed tomographic bone image segmentation
por: Marwa, Fradi, et al.
Publicado: (2022)

Varmole: a biologically drop-connect deep neural network model for prioritizing disease risk variants and genes
por: Nguyen, Nam D, et al.
Publicado: (2020)

Selection of oligonucleotides for whole-genome microarrays with semi-automatic update
por: Golfier, G., et al.
Publicado: (2009)

An algorithm competition for automatic species identification from herbarium specimens
por: Little, Damon P., et al.
Publicado: (2020)

A patient-centered digital scribe for automatic medical documentation
por: Wang, Jesse, et al.
Publicado: (2021)

Automatic information extraction from childhood cancer pathology reports
por: Yoon, Hong-Jun, et al.
Publicado: (2022)

Optimizing EOQ model for expiring items with stock, selling cost and lifetime dependent demand under inflation
por: Singh, Chaman, et al.
Publicado: (2023)

An automatic image processing algorithm for initiating and terminating intracoronary  OFDI pullback
por: Hariri, Lida P., et al.
Publicado: (2010)

Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomography
por: Hammon, Matthias, et al.
Publicado: (2013)

nandb—number and brightness in R with a novel automatic detrending algorithm
por: Nolan, Rory, et al.
Publicado: (2017)

Trialstreamer: A living, automatically updated database of clinical trial reports
por: Marshall, Iain J, et al.
Publicado: (2020)

Automatic gender detection in Twitter profiles for health-related cohort studies
por: Yang, Yuan-Chi, et al.
Publicado: (2021)

RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials
por: Marshall, Iain J, et al.
Publicado: (2016)

genipe: an automated genome-wide imputation pipeline with automatic reporting and statistical tools
por: Lemieux Perreault, Louis-Philippe, et al.
Publicado: (2016)

Compartor: a toolbox for the automatic generation of moment equations for dynamic compartment populations
por: Pietzsch, Tobias, et al.
Publicado: (2021)

BioRuby: bioinformatics software for the Ruby programming language
por: Goto, Naohisa, et al.
Publicado: (2010)

The Ensembl REST API: Ensembl Data for Any Language
por: Yates, Andrew, et al.
Publicado: (2015)

Dynamix: dynamic visualization by automatic selection of informative tracks from hundreds of genomic datasets
por: Monfort, Matthias, et al.
Publicado: (2017)

SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts
por: Soares, Felipe, et al.
Publicado: (2020)

LexExp: a system for automatically expanding concept lexicons for noisy biomedical texts
por: Sarker, Abeed
Publicado: (2020)

metID: an R package for automatable compound annotation for LC−MS-based data
por: Shen, Xiaotao, et al.
Publicado: (2021)

BioCaster in 2021: automatic disease outbreaks detection from global news media
por: Meng, Zaiqiao, et al.
Publicado: (2022)

Computer use, language, and literacy in safety net clinic communication
por: Ratanawongsa, Neda, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_0pjb0ihkj3q4jqa6nqmse795oe