Dr. Pradeepika Verma
DST-SERB National Post-Doctoral Fellow
Varanasi, U.P., India
Pradeepika.pf.cse21@itbhu.ac.in
pradeepikav.verma093@gmail.com
About
Research Intrest : Natural Language Processing, Text Summarization, Optimization Approaches
Research Description : Currently, I am working on a DST-SERB funded project entitled “Generative Model based Abstractive Text Summarization System”. I am interested in exploring deep learning and reinforcement learning approaches for abstractive as well as extractive document summarization.
Anshul Verma, Pradeepika Verma, Sanjay Kumar Dhurandher, and Isaac Woungang, Opportunistic Networks: Fundamentals, Applications and Emerging Trends, CRC Press
Mohini Singh, Pradeepika Verma, and Anshul Verma.Security in Opportunistic Networks., In Opportunistic Networks, pp. 299-312. CRC Press, 2021
Chayan Ghosh, Anshul Verma, and Pradeepika Verma Real time fault detection in railway tracks using Fast Fourier Transformation and Discrete Wavelet Transformation.International Journal of Information Technology, 2021, 1-10 (Scopus)
Pradeepika Verma, and Anshul Verma, A Review on Text Summarization Techniques, Journal of Scientific Research, BHU, 64(1), 251-257, 2020.
Pradeepika Verma, and Anshul Verma, Accountability of NLP Tools in Text Summarization for Indian Languages, Journal of Scientific Research, BHU,64(1), 258-263, 2020
Pradeepika Verma, Sukomal Pal, and Hari Om, A Comparative Analysis on Hindi and English Extractive Text Summarization., Knowledge-Based Systems, October 2019
Pradeepika Verma, Sukomal Pal, H Om, A Comparative Analysis on Hindi and English Extractive Text Summarization, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 18(3), 30, 2019. (SCI)
Pradeepika Verma, H Om, A novel approach for text summarization using optimal combination of sentence scoring methods, Sadhana Academy proceeding in Engineering Sciences, 44(5), 2019. (SCI)
DST-SERB NPDF
Ph. D.
M. Tech.
MCA
B.Sc