21 citations · 44 across the 8 of their papers we have counts for
9 papers
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems
Nischal Ashok Kumar, Nitin Gupta, Shanmukha Guttula +1
In mapping enterprise applications, data mapping remains a fundamental part of integration development, but its time consuming. An increasing number of applications lack naming sta…
Identifying Semantically Difficult Samples to Improve Text Classification
Shashank Mujumdar, Stuti Mehta, Hima Patel +1
In this paper, we investigate the effect of addressing difficult samples from a given text dataset on the downstream text classification task. We define difficult samples as being…
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
Nitin Gupta, Hima Patel, Shazia Afzal +10
The quality of training data has a huge impact on the efficiency, accuracy and complexity of machine learning tasks. Various tools and techniques are available that assess data qua…
Explainable Link Prediction for Privacy-Preserving Contact Tracing
Balaji Ganesan, Hima Patel, Sameep Mehta
Contact Tracing has been used to identify people who were in close proximity to those infected with SARS-Cov2 coronavirus. A number of digital contract tracing applications have be…
Data Readiness Report
Shazia Afzal, Rajmohan C, Manish Kesarwani +2
Data exploration and quality analysis is an important yet tedious process in the AI pipeline. Current practices of data cleaning and data readiness assessment for machine learning…
Towards a Multi-modal, Multi-task Learning based Pre-training Framework for Document Representation Learning
Subhojeet Pramanik, Shashank Mujumdar, Hima Patel
Recent approaches in literature have exploited the multi-modal information in documents (text, layout, image) to serve specific downstream document tasks. However, they are limited…
Link Prediction using Graph Neural Networks for Master Data Management
Balaji Ganesan, Srinivas Parkala, Neeraj R Singh +5
Learning graph representations of n-ary relational data has a number of real world applications like anti-money laundering, fraud detection, and customer due diligence. Contact tra…
Data Augmentation for Personal Knowledge Base Population
Lingraj S Vannur, Balaji Ganesan, Lokesh Nagalapatti +2
Cold start knowledge base population (KBP) is the problem of populating a knowledge base from unstructured documents. While artificial neural networks have led to significant impro…
A Neural Architecture for Person Ontology population
Balaji Ganesan, Riddhiman Dasgupta, Akshay Parekh +2
A person ontology comprising concepts, attributes and relationships of people has a number of applications in data protection, didentification, population of knowledge graphs for b…