Search Results for author: Nikhil Gupta

Found 8 papers, 4 papers with code

An Adaptive Demand Response Framework using Price Elasticity Model in Distribution Networks: A Case Study

no code implementations31 May 2021 Vipin Chandra Pandey, Nikhil Gupta, K. R. Niazi, Anil Swarnkar, Rayees Ahmad Thokar

Thus, this article presents an adaptive economic DR framework with attributes of DR via a dynamic elasticity approach to model customers sensitivity.

Rational Dynamic Price Model for Demand Response Programs in Modern Distribution Systems

no code implementations21 May 2021 Rayees A. Thokar, Nikhil Gupta, K. R. Niazi, Anil Swarnkar, Nand K. Meena

The novelty of the proposed model lies in the fact that the financial benefits and penalties pertaining to DR are self-adjusted among customers while preserving social equity and profit of the utility.

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset

1 code implementation EMNLP (sdp) 2020 Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin

We present Covidex, a search engine that exploits the latest neural ranking models to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI.

Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset

no code implementations ACL 2020 Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, Jimmy Lin

The Neural Covidex is a search engine that exploits the latest neural ranking architectures to provide information access to the COVID-19 Open Research Dataset (CORD-19) curated by the Allen Institute for AI.

Decision Making

Unsupervised Learning of KB Queries in Task-Oriented Dialogs

no code implementations30 Apr 2020 Dinesh Raghu, Nikhil Gupta, Mausam

Task-oriented dialog (TOD) systems often need to formulate knowledge base (KB) queries corresponding to the user intent and use the query results to generate system responses.

Rapidly Bootstrapping a Question Answering Dataset for COVID-19

1 code implementation23 Apr 2020 Raphael Tang, Rodrigo Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin

We present CovidQA, the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge.

Question Answering

Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned

1 code implementation10 Apr 2020 Edwin Zhang, Nikhil Gupta, Rodrigo Nogueira, Kyunghyun Cho, Jimmy Lin

We present the Neural Covidex, a search engine that exploits the latest neural ranking architectures to provide information access to the COVID-19 Open Research Dataset curated by the Allen Institute for AI.

Decision Making

Disentangling Language and Knowledge in Task-Oriented Dialogs

1 code implementation NAACL 2019 Dinesh Raghu, Nikhil Gupta, Mausam

We also systematically modify existing datasets to measure disentanglement and show BoSsNet to be robust to KB modifications.

Disentanglement Language Modelling

Cannot find the paper you are looking for? You can Submit a new open access paper.