16 citations · 27 across the 5 of their papers we have counts for
6 papers
An Inference Approach To Question Answering Over Knowledge Graphs
Aayushee Gupta, K. M. Annervaz, Ambedkar Dukkipati +1
Knowledge Graphs (KG) act as a great tool for holding distilled information from large natural language text corpora. The problem of natural language querying over knowledge graphs…
ActKnow: Active External Knowledge Infusion Learning for Question Answering in Low Data Regime
K. M. Annervaz, Pritam Kumar Nath, Ambedkar Dukkipati
Deep learning models have set benchmark results in various Natural Language Processing tasks. However, these models require an enormous amount of training data, which is infeasible…
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…
Java Source-code Clustering: Unifying Syntactic and Semantic Features
Janardan Misra, Vikrant Kaulgud, Gary Titus +2
This is a companion draft to paper 'Software Clustering: Unifying Syntactic and Semantic Features', in proceedings of the 19th Working Conference on Reverse Engineering (WCRE 2012)…