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EmpLite: A Lightweight Sequence Labeling Model for Emphasis Selection of
  Short Texts

EmpLite: A Lightweight Sequence Labeling Model for Emphasis Selection of Short Texts

15 December 2020
Vibhav Agarwal
Sourav Ghosh
Kranti Chalamalasetti
B. Challa
S. Kumari
Harshavardhana
Barath Raj Kandur Raja
ArXiv (abs)PDFHTML

Papers citing "EmpLite: A Lightweight Sequence Labeling Model for Emphasis Selection of Short Texts"

2 / 2 papers shown
Title
LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech
LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech
Harshvardhan Anand
Nansi Begam
Richa Verma
Sourav Ghosh
Harichandana B.S.S
Sumit Kumar
48
0
0
11 Jul 2022
LIDSNet: A Lightweight on-device Intent Detection model using Deep
  Siamese Network
LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network
Vibhav Agarwal
Sudeep Deepak Shivnikar
Sourav Ghosh
H. Arora
Yash Saini
35
8
0
06 Oct 2021
1