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cs.CL2021★ 1 cited
LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning
Sonal Kumari, Vibhav Agarwal, Bharath Challa +4
Named entity detection and Parts-of-speech tagging are the key tasks for many NLP applications. Although the current state of the art methods achieved near perfection for long, for…
cs.CL2020
EmpLite: A Lightweight Sequence Labeling Model for Emphasis Selection of Short Texts
Vibhav Agarwal, Sourav Ghosh, Kranti Chalamalasetti +4
Word emphasis in textual content aims at conveying the desired intention by changing the size, color, typeface, style (bold, italic, etc.), and other typographical features. The em…