4 papers
Migration through Machine Learning Lens -- Predicting Sexual and Reproductive Health Vulnerability of Young Migrants
Amber Nigam, Pragati Jaiswal, Uma Girkar +2
In this paper, we have discussed initial findings and results of our experiment to predict sexual and reproductive health vulnerabilities of migrants in a data-constrained environm…
Job Recommendation through Progression of Job Selection
Amber Nigam, Aakash Roy, Arpan Saxena +1
Job recommendation has traditionally been treated as a filter-based match or as a recommendation based on the features of jobs and candidates as discrete entities. In this paper, w…
Intent Detection and Slots Prompt in a Closed-Domain Chatbot
Amber Nigam, Prashik Sahare, Kushagra Pandya
In this paper, we introduce a methodology for predicting intent and slots of a query for a chatbot that answers career-related queries. We take a multi-staged approach where both t…
Role of Intonation in Scoring Spoken English
Amber Nigam, Arpan Saxena, Ishan Sodhi
In this paper, we have introduced and evaluated intonation based feature for scoring the English speech of nonnative English speakers in Indian context. For this, we created an aut…