12 citations · 59 across the 16 of their papers we have counts for
6 papers · 1 filter
LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network
Vibhav Agarwal, Sudeep Deepak Shivnikar, Sourav Ghosh +2
Intent detection is a crucial task in any Natural Language Understanding (NLU) system and forms the foundation of a task-oriented dialogue system. To build high-quality real-world…
Measuring Domain Knowledge for Early Prediction of Student Performance: A Semantic Approach
Anupam Khan, Sourav Ghosh, Soumya K. Ghosh
The growing popularity of data mining catalyses the researchers to explore various exciting aspects of education. Early prediction of student performance is an emerging area among…
Real-Time Optimized N-gram For Mobile Devices
Sharmila Mani, Sourabh Vasant Gothe, Sourav Ghosh +4
With the increasing number of mobile devices, there has been continuous research on generating optimized Language Models (LMs) for soft keyboard. In spite of advances in this domai…
Language Detection Engine for Multilingual Texting on Mobile Devices
Sourabh Vasant Gothe, Sourav Ghosh, Sharmila Mani +3
More than 2 billion mobile users worldwide type in multiple languages in the soft keyboard. On a monolingual keyboard, 38% of falsely auto-corrected words are valid in another lang…
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…