A Hybrid Solution To Abstractive Multi-Document Summarization Using Supervised and Unsupervised Learning
Date of Submission
21st Nov 2024
General Information:
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Year Of Paper Submission : 2019-20 |
Type of Applicant : Student |
Selected Course : UG |
Department of Applicant : IT |
Class of Applicant : B.E. |
Applicants Details:
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UCID of Applicant : 2015140008 |
Applicant Name : Gaurav Bhagchandani |
Applicant Email : gpunjabi28@gmail.com |
UCID of Applicant No. 2 : 2015140011.000000 |
Applicant No. 2 Name : Deep Bodra |
Applicant No. 2 Email : deepbodra96@gmail.com |
UCID of Applicant No. 3 : 2015140022 |
Applicant No. 3 Name : Abhishek Gangan |
Applicant No. 3 Email : gangan.abhishek@gmail.com |
UCID of Applicant No. 4 : faculty |
Applicant No. 4 Name : Prof. Nikahat Mulla |
Applicant No. 4 Email : nikahat_kazi@spit.ac.in |
Guide Details:
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Department of Guide No. 1 : Information Technology |
Name of First Guide : Prof. Nikahat Mulla |
Paper Details:
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Title of Paper : A Hybrid Solution To Abstractive Multi-Document Summarization Using Supervised and Unsupervised Learning |
Type of Paper : Conference |
Type of Publication : International |
Date Of Conference / Journal / Book :
2019-05-15 |
Conference_Type : IEEE |
ISBN : 978-1-5386-8113-8 |