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Medical Text Simplification Using Reinforcement Learning (TESLEA): Deep Learning–Based Text Simplification Approach
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf00992696openalex-snapshot
Simple statistical gradient-following algorithms for connectionist reinforcement learning
inferredcites →https://doi.org/10.1109/ichi.2019.8904728openalex-snapshot
BioSentVec: creating sentence embeddings for biomedical texts
inferredcites →https://doi.org/10.1111/j.1467-9280.1996.tb00336.xopenalex-snapshot
Word Frequency and Word Difficulty: A Comparison of Counts in Four Corpora
inferredcites →https://doi.org/10.1145/3308558.3313630openalex-snapshot
Evaluating Neural Text Simplification in the Medical Domain
inferredcites →https://doi.org/10.1162/tacl_a_00107openalex-snapshot
Optimizing Statistical Machine Translation for Text Simplification
inferredcites →https://doi.org/10.1162/tacl_a_00139openalex-snapshot
Problems in Current Text Simplification Research: New Data Can Help
inferredcites →https://doi.org/10.1186/isrctn12348322openalex-snapshot
Comparing COVID-19 vaccine schedule combinations in adolescents (Com-COV3)
inferredcites →https://doi.org/10.1609/aaai.v30i1.9885openalex-snapshot
Unsupervised Lexical Simplification for Non-Native Speakers
inferredcites →https://doi.org/10.1609/aaai.v34i05.6389openalex-snapshot
Lexical Simplification with Pretrained Encoders
inferredcites →https://doi.org/10.1609/aaai.v34i05.6515openalex-snapshot
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.709openalex-snapshot
Neural CRF Model for Sentence Alignment in Text Simplification
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.217openalex-snapshot
ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training
inferredcites →https://doi.org/10.18653/v1/2021.acl-demo.26openalex-snapshot
FastSeq: Make Sequence Generation Faster
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.498openalex-snapshot
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.630openalex-snapshot
Document-Level Text Simplification: Dataset, Criteria and Baseline
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.395openalex-snapshot
Paragraph-level Simplification of Medical Texts
inferredcites →https://doi.org/10.18653/v1/d17-1062openalex-snapshot
Sentence Simplification with Deep Reinforcement Learning
inferredcites →https://doi.org/10.18653/v1/d18-1206openalex-snapshot
Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
inferredcites →https://doi.org/10.18653/v1/k16-1028openalex-snapshot
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
inferredcites →https://doi.org/10.18653/v1/p17-2014openalex-snapshot
Exploring Neural Text Simplification Models
inferredcites →https://doi.org/10.18653/v1/p19-1198openalex-snapshot
Unsupervised Neural Text Simplification
inferredcites →https://doi.org/10.2196/17984openalex-snapshot
Clinical Text Data in Machine Learning: Systematic Review
inferredcites →https://doi.org/10.2196/19810openalex-snapshot
Clinical Context–Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation
inferredcites →https://doi.org/10.3115/v1/p15-2070openalex-snapshot
PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
inferredcites →https://doi.org/10.3115/v1/s14-2114openalex-snapshot
The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-88720-8_39openalex-snapshot
Enhancing Generative Models for Scientific Text Simplification
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AI in Treatment and Patient Care
inferred← citeshttps://doi.org/10.1007/978-981-95-2212-5_11openalex-snapshot
Automatic Text Summarization by Using Deep Learning Models
inferred← citeshttps://doi.org/10.1007/978-981-97-2550-2_33openalex-snapshot
Next-Gen Language Mastery: Exploring Advances in Natural Language Processing Post-transformers
inferred← citeshttps://doi.org/10.1016/j.jbi.2024.104727openalex-snapshot
Health text simplification: An annotated corpus for digestive cancer education and novel strategies for reinforcement learning
inferred← citeshttps://doi.org/10.1055/s-0043-1768752openalex-snapshot
Year 2022 in Medical Natural Language Processing: Availability of Language Models as a Step in the Democratization of NLP in the Biomedical Area
inferred← citeshttps://doi.org/10.1055/s-0043-1768763openalex-snapshot
Contents IMIA Yearbook of Medical Informatics 2023
inferred← citeshttps://doi.org/10.1093/jamia/ocae215openalex-snapshot
A review of reinforcement learning for natural language processing and applications in healthcare
inferred← citeshttps://doi.org/10.1093/jncics/pkaf021openalex-snapshot
The use of large language models to enhance cancer clinical trial educational materials
inferred← citeshttps://doi.org/10.1109/ichi61247.2024.00047openalex-snapshot
Diffusion Models for Image Generation to Enhance Health Literacy
inferred← citeshttps://doi.org/10.1145/3675401openalex-snapshot
Hybrid Prompt Learning for Generating Justifications of Security Risks in Automation Rules
inferred← citeshttps://doi.org/10.1145/3711542.3711571openalex-snapshot
A Lexical Simplification Framework for Turkish
inferred← citeshttps://doi.org/10.1371/journal.pdig.0000489openalex-snapshot
Biomedical text readability after hypernym substitution with fine-tuned large language models
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.1037openalex-snapshot
Multilingual Simplification of Medical Texts
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.322openalex-snapshot
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search Decoding
inferred← citeshttps://doi.org/10.3390/modelling6020027openalex-snapshot
A Multi-Head Attention-Based Transformer Model for Predicting Causes in Aviation Incidents
inferred← citeshttps://doi.org/10.48550/arxiv.2405.01592openalex-snapshot
Text and Audio Simplification: Human vs. ChatGPT
inferred← citeshttps://doi.org/10.54097/94ns3t96openalex-snapshot
ReadFact: A Workflow Framework for Readability and Factual Consistency in Medical Text Simplification
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