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.
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
Online medical forums have become a predominant platform for answering health-related information needs of consumers.
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.
In this paper, we have explored the effects of different minibatch sampling techniques in Knowledge Graph Completion.
In this paper, we describe our system for COIN 2019 Shared Task 1: Commonsense Inference in Everyday Narrations.
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.
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.