Search Results for author:
Found 8 papers, 3 papers with code
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Modeling weather and climate is an essential endeavor to understand the near- and long-term impacts of climate change, as well as inform technology and policymaking for adaptation and mitigation efforts.
Using Interactive Feedback to Improve the Accuracy and Explainability of Question Answering Systems Post-Deployment
We train a neural model with this feedback data that can generate explanations and re-score answer candidates.
Ranked #1 on
Overall - Test
on FeedbackQA
Knowledge-Aware Neural Networks for Medical Forum Question Classification
Online medical forums have become a predominant platform for answering health-related information needs of consumers.
Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders
We present a deep learning based approach to containerized application runtime stability analysis, and an intelligent publishing algorithm that can dynamically adjust the depth of process-level forensics published to a backend incident analysis repository.
Exploring Effects of Random Walk Based Minibatch Selection Policy on Knowledge Graph Completion
In this paper, we have explored the effects of different minibatch sampling techniques in Knowledge Graph Completion.
IIT-KGP at COIN 2019: Using pre-trained Language Models for modeling Machine Comprehension
In this paper, we describe our system for COIN 2019 Shared Task 1: Commonsense Inference in Everyday Narrations.
IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier
Official System Description paper of Team IIT-KGP ranked 1st in the Development phase and 3rd in Testing Phase in MEDIQA 2019 - Recognizing Question Entailment (RQE) Shared Task of BioNLP workshop - ACL 2019.
Entity Personalized Talent Search Models with Tree Interaction Features
Talent Search systems aim to recommend potential candidates who are a good match to the hiring needs of a recruiter expressed in terms of the recruiter's search query or job posting.
