96 citations · 491 across the 80 of their papers we have counts for
5 papers · 1 filter
Active Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation
Rishi Hazra, Parag Dutta, Shubham Gupta +2
While deep learning is a powerful tool for natural language processing (NLP) problems, successful solutions to these problems rely heavily on large amounts of annotated samples. Ho…
Adversarial Context Aware Network Embeddings for Textual Networks
Tony Gracious, Ambedkar Dukkipati
Representation learning of textual networks poses a significant challenge as it involves capturing amalgamated information from two modalities: (i) underlying network structure, an…
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing
Somnath Basu Roy Chowdhury, K M Annervaz, Ambedkar Dukkipati
Supervised learning models are typically trained on a single dataset and the performance of these models rely heavily on the size of the dataset, i.e., amount of data available wit…
Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processing
K M Annervaz, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati
Machine Learning has been the quintessential solution for many AI problems, but learning is still heavily dependent on the specific training data. Some learning models can be incor…
A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference
Biswajit Paria, K. M. Annervaz, Ambedkar Dukkipati +2
In this work we use the recent advances in representation learning to propose a neural architecture for the problem of natural language inference. Our approach is aligned to mimic…