BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
| Main Authors: | , |
|---|---|
| Drugi avtorji: | |
| Format: | Thesis |
| Jezik: | English |
| Izdano: |
Brac University
2024
|
| Teme: | |
| Online dostop: | http://hdl.handle.net/10361/22910 |
| id |
10361-22910 |
|---|---|
| record_format |
dspace |
| spelling |
10361-229102024-05-26T21:03:54Z BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization Adib, Quazi Adibur Rahman Alam, Sanjana Binte Sadeque, Farig Yousuf Department of Computer Science and Engineering, Brac University ClinicalNLP mBART Dialouge2Note Bangla language mLongT5 Natural language processing (Computer science) Data mining This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 44-47). Despite significant improvements in the general-purpose text summarization task in the past decade, clinical conversion summarization is going through a tough time due to a lack of initiative to provide open-source datasets to the NLP community. In this work, we are presenting the first long and short Bangla Clinical Dialogue to Note Summarization datasets: BnClinical-Sum. Long conversations are detailed conversations with additional medical history. For the long dialogue dataset, we have accumulated around 207 pairs of full conversations and notes. Each note consists of in-depth discussions on previous medical histories, family medical records, and a wide variety of other topics. For the short dialogue version, our dataset consists of 1701 real-life short manually translated clinical conversations and their corresponding notes. The short dialogue dataset consists of subsets of long dialogue where each dialogue snippet addresses one sub-topic like previous medical histories, family medical records, etc. Those conversations are from 20 different categories like labs, assessments, plans, etc. Owing to demonstrating the efficacy of both datasets, we have trained our datasets on current state-of-the-art text summarization and text-to-text generative models to provide a solid benchmark for clinical conversion summarization tasks. Quazi Adibur Rahman Adib Sanjana Binte Alam B.Sc in Computer Science 2024-05-26T02:57:33Z 2024-05-26T02:57:33Z ©2024 2024-01 Thesis ID: 21241056 ID: 20301455 http://hdl.handle.net/10361/22910 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 60 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
ClinicalNLP mBART Dialouge2Note Bangla language mLongT5 Natural language processing (Computer science) Data mining |
| spellingShingle |
ClinicalNLP mBART Dialouge2Note Bangla language mLongT5 Natural language processing (Computer science) Data mining Adib, Quazi Adibur Rahman Alam, Sanjana Binte BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. |
| author2 |
Sadeque, Farig Yousuf |
| author_facet |
Sadeque, Farig Yousuf Adib, Quazi Adibur Rahman Alam, Sanjana Binte |
| format |
Thesis |
| author |
Adib, Quazi Adibur Rahman Alam, Sanjana Binte |
| author_sort |
Adib, Quazi Adibur Rahman |
| title |
BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization |
| title_short |
BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization |
| title_full |
BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization |
| title_fullStr |
BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization |
| title_full_unstemmed |
BnClinical-Sum: benchmarking datasets for Bangla long & short clinical dialogue summarization |
| title_sort |
bnclinical-sum: benchmarking datasets for bangla long & short clinical dialogue summarization |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22910 |
| work_keys_str_mv |
AT adibquaziadiburrahman bnclinicalsumbenchmarkingdatasetsforbanglalongshortclinicaldialoguesummarization AT alamsanjanabinte bnclinicalsumbenchmarkingdatasetsforbanglalongshortclinicaldialoguesummarization |
| _version_ |
1814308844602392576 |