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Methodical Systematic Review of Abstractive Summarization and Natural Language Processing Models for Biomedical Health Informatics: Approaches, Metrics and Challenges

Authors:

Praveen Kumar Katwe,

Aditya Khamparia,

Ashit Kumar DuttaAuthors Info & Claims

ACM Transactions on Asian and Low-Resource Language Information Processing

Accepted on 22 May 2023

https://doi.org/10.1145/3600230

Online AM: 31 May 2023 Publication History

Abstract

Text summarization tasks are primarily very useful for decision support systems and provide a source for useful data for training of bots as they can reduce and retain the useful information from the large corpus. This review article is for studying the literature that already exists in context of abstractive summarization and application of NLP language models in biomedical and associated healthcare applications. In past decade with trends like bigdata, IOT, enormous amount of data is getting processed in all structured, unstructured and semi structured formats. This review provides a comprehensive literature survey in research trends for abstractive summarization, foundations of machine translation and evolution of language models. This review identifies the potential of language model to provide a possible methodology for improving the performance and accuracy of various tasks in summarization. Deep neural network-based language models have now been the widely accepted state of art for various abstractive summarization and there exists an enormous scope to improvise and tune the language models for domain specific use case. This study shows current systems lack in faithfulness to original content and control of degree of hallucination. This review also details on the evaluation criteria and need for automated metrics and attempts to provide guideline for evaluation for abstractive summarization for health informatics.

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Rao AAithal SSingh S(2024)Single-Document Abstractive Text Summarization: A Systematic Literature ReviewACM Computing Surveys10.1145/370063957:3(1-37)Online publication date: 11-Nov-2024
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Methodical Systematic Review of Abstractive Summarization and Natural Language Processing Models for Biomedical Health Informatics: Approaches, Metrics and Challenges

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ACM Transactions on Asian and Low-Resource Language Information Processing Just Accepted

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Publication History

Online AM: 31 May 2023

Accepted: 22 May 2023

Revised: 05 May 2023

Received: 18 March 2023

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Cited By

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Lu WWei SPeng XWang YNaseem UWang S(2024)Medical Question Summarization with Entity-driven Contrastive LearningACM Transactions on Asian and Low-Resource Language Information Processing10.1145/365216023:4(1-19)Online publication date: 15-Apr-2024
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https://doi.org/10.1109/ICSCSS60660.2024.10624907
Syed AGaol FBoediman ABudiharto W(2024)Airline reviews processing: Abstractive summarization and rating-based sentiment classification using deep transfer learningInternational Journal of Information Management Data Insights10.1016/j.jjimei.2024.1002384:2(100238)Online publication date: Nov-2024
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