Text Summarization of Medical Documents using Abstractive Techniques

Author:

Lalitha Evani1,Ramani Kasarapu2,Shahida Dudekula1,Deepak Esikela Venkata Sai1,Bindu M Hima1,Shaikshavali Diguri1

Affiliation:

1. Sree Vidyanikethan Engineering College,Department of Information Technology,India

2. School of Computing Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Tirupati

Publisher

IEEE

Reference15 articles.

1. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

2. ROUGE: A Package for Automatic Evaluation of summaries;lin;Text Summarization Branches Out Proceedings of the ACL-04 Workshop,2004

3. SumPubMed: Summarization Dataset of PubMed Scientific Articles

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1. Extractive Text Summarization of Clinical Text Using Deep Learning Models;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

2. BART Fine Tuning based Abstractive Summarization of Patients Medical Questions Texts;2023 4th International Conference on Data Analytics for Business and Industry (ICDABI);2023-10-25

3. Abstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM;2023 Innovations in Intelligent Systems and Applications Conference (ASYU);2023-10-11

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