Cargando…

Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation Study

BACKGROUND: Semantic textual similarity (STS) measures the degree of relatedness between sentence pairs. The Open Health Natural Language Processing (OHNLP) Consortium released an expertly annotated STS data set and called for the National Natural Language Processing Clinical Challenges. This work d...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Qingyu, Rankine, Alex, Peng, Yifan, Aghaarabi, Elaheh, Lu, Zhiyong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2021
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8759018/ https://www.ncbi.nlm.nih.gov/pubmed/34967748 http://dx.doi.org/10.2196/27386

Ejemplares similares

Semantic Textual Similarity in Japanese Clinical Domain Texts Using BERT
por: Mutinda, Faith Wavinya, et al.
Publicado: (2021)

Semantic textual similarity for modern standard and dialectal Arabic using transfer learning
por: Al Sulaiman, Mansour, et al.
Publicado: (2022)

Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models
por: Yang, Xi, et al.
Publicado: (2020)

An Ensemble Semantic Textual Similarity Measure Based on Multiple Evidences for Biomedical Documents
por: Li, Meijing, et al.
Publicado: (2022)

ALBERT-Based Self-Ensemble Model With Semisupervised Learning and Data Augmentation for Clinical Semantic Textual Similarity Calculation: Algorithm Validation Study
por: Li, Junyi, et al.
Publicado: (2021)

An efficient approach for textual data classification using deep learning
por: Alqahtani, Abdullah, et al.
Publicado: (2022)

Distributed representation and one-hot representation fusion with gated network for clinical semantic textual similarity
por: Xiong, Ying, et al.
Publicado: (2020)

The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview
por: Wang, Yanshan, et al.
Publicado: (2020)

Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study
por: Kades, Klaus, et al.
Publicado: (2021)

Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Networks for Assessing Semantic Textual Similarity: Model Development and Performance Comparison
por: Chang, David, et al.
Publicado: (2021)

Ontology for Semantic Data Integration in the Domain of IT Benchmarking
por: Pfaff, Matthias, et al.
Publicado: (2017)

A Quantum Genetic Algorithm for Building a Semantic Textual Similarity Estimation Framework for Plagiarism Detection Applications
por: Darwish, Saad M., et al.
Publicado: (2023)

Textrous!: Extracting Semantic Textual Meaning from Gene Sets
por: Chen, Hongyu, et al.
Publicado: (2013)

Multi-domain semantic similarity in biomedical research
por: Ferreira, João D., et al.
Publicado: (2019)

MergedTrie: Efficient textual indexing
por: Ferrández, Antonio, et al.
Publicado: (2019)

The textual characteristics of traditional and Open Access scientific journals are similar
por: Verspoor, Karin, et al.
Publicado: (2009)

Using Semantic Web technology to support icd-11 textual definitions authoring
por: Jiang, Guoqian, et al.
Publicado: (2013)

Large-Scale Textual Datasets and Deep Learning for the Prediction of Depressed Symptoms
por: Chakraborty, Sudeshna, et al.
Publicado: (2022)

Computing semantic similarity of texts based on deep graph learning with ability to use semantic role label information
por: Mohebbi, Majid, et al.
Publicado: (2022)

Semantic similarity and machine learning with ontologies
por: Kulmanov, Maxat, et al.
Publicado: (2020)

Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
por: Lan, Yinyu, et al.
Publicado: (2021)

Correction: MergedTrie: Efficient textual indexing
por: Ferrández, Antonio, et al.
Publicado: (2019)

Retracted: Large-Scale Textual Datasets and Deep Learning for the Prediction of Depressed Symptoms
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

An Entropy-Based Method with a New Benchmark Dataset for Chinese Textual Affective Structure Analysis
por: Xiong, Shufeng, et al.
Publicado: (2023)

Semantic similarity in the biomedical domain: an evaluation across knowledge sources
por: Garla, Vijay N, et al.
Publicado: (2012)

Textual Inference Comprehension in Mild Cognitive Impairment: The Influence of Semantic Processing and Verbal Episodic Memory
por: Maziero, Maria Paula, et al.
Publicado: (2021)

Interpreting deep learning models for glioma survival classification using visualization and textual explanations
por: Osadebey, Michael, et al.
Publicado: (2023)

Benchmark of Deep Learning models
por: Terko, Afan
Publicado: (2021)

Combining Textual and Visual Information for Image Retrieval in the Medical Domain
por: Gkoufas, Yiannis, et al.
Publicado: (2011)

On Textual Analysis and Machine Learning for Cyberstalking Detection
por: Frommholz, Ingo, et al.
Publicado: (2016)

From Ontology to Semantic Similarity: Calculation of Ontology-Based Semantic Similarity
por: Gan, Mingxin, et al.
Publicado: (2013)

BIOSSES: a semantic sentence similarity estimation system for the biomedical domain
por: Soğancıoğlu, Gizem, et al.
Publicado: (2017)

Neural sentence embedding models for semantic similarity estimation in the biomedical domain
por: Blagec, Kathrin, et al.
Publicado: (2019)

Deep learning in TMVA Benchmarking Benchmarking TMVA DNN Integration of a Deep Autoencoder
por: Huwiler, Marc
Publicado: (2017)

Using Character-Level and Entity-Level Representations to Enhance Bidirectional Encoder Representation From Transformers-Based Clinical Semantic Textual Similarity Model: ClinicalSTS Modeling Study
por: Xiong, Ying, et al.
Publicado: (2020)

PADI-web corpus: Labeled textual data in animal health domain
por: Rabatel, Julien, et al.
Publicado: (2018)

Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
por: Chen, Qingyu, et al.
Publicado: (2020)

Exploring textual data /
por: Lebart, Ludovic
Publicado: (1998)

Exploring textual data
por: Lebart, Ludovic, et al.
Publicado: (1998)

On solving textual ambiguities and semantic vagueness in MRC based question answering using generative pre-trained transformers
por: Ahmed, Muzamil, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_kpqpfqhkhd5nloojristf8bm2r