44 citations · 49 across the 6 of their papers we have counts for
6 papers
Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems
Zinat Ara, Hossein Salemi, Sungsoo Ray Hong +4
Data annotation interfaces predominantly leverage ground truth labels to guide annotators toward accurate responses. With the growing adoption of Artificial Intelligence (AI) in do…
Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling
Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1
Predicting user intent and detecting the corresponding slots from text are two key problems in Natural Language Understanding (NLU). In the context of zero-shot learning, this task…
Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion
Yasas Senarath, Saideep Nannapaneni, Hemant Purohit +1
The number of emergencies have increased over the years with the growth in urbanization. This pattern has overwhelmed the emergency services with limited resources and demands the…
Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning
Rahul Pandey, Hemant Purohit, Carlos Castillo +1
High-quality human annotations are necessary for creating effective machine learning-driven stream processing systems. We study hybrid stream processing systems based on a Human-In…
Common-Knowledge Concept Recognition for SEVA
Jitin Krishnan, Patrick Coronado, Hemant Purohit +1
We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as relation extraction, knowled…
Diversity-Based Generalization for Unsupervised Text Classification under Domain Shift
Jitin Krishnan, Hemant Purohit, Huzefa Rangwala
Domain adaptation approaches seek to learn from a source domain and generalize it to an unseen target domain. At present, the state-of-the-art unsupervised domain adaptation approa…