9 citations · 17 across the 4 of their papers we have counts for
5 papers
TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copy
Vibhav Agarwal, Sourav Ghosh, Harichandana BSS +2
Data-to-text (D2T) generation is a crucial task in many natural language understanding (NLU) applications and forms the foundation of task-oriented dialog systems. In the context o…
PrivPAS: A real time Privacy-Preserving AI System and applied ethics
Harichandana B S S, Vibhav Agarwal, Sourav Ghosh +3
With 3.78 billion social media users worldwide in 2021 (48% of the human population), almost 3 billion images are shared daily. At the same time, a consistent evolution of smartpho…
edATLAS: An Efficient Disambiguation Algorithm for Texting in Languages with Abugida Scripts
Sourav Ghosh, Sourabh Vasant Gothe, Chandramouli Sanchi +1
Abugida refers to a phonogram writing system where each syllable is represented using a single consonant or typographic ligature, along with a default vowel or optional diacritic(s…
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…
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…