Search Results for author: Gaurav Dhama

Found 6 papers, 0 papers with code

Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies

no code implementations18 May 2022 Deepak Chaurasiya, Anil Surisetty, Nitish Kumar, Alok Singh, Vikrant Dey, Aakarsh Malhotra, Gaurav Dhama, Ankur Arora

We further create an open-source repository for $14$ embedding-based EA methods and present the analysis for invoking further research motivations in the field of EA.

Benchmarking Entity Alignment +1

Dynamic Temporal Reconciliation by Reinforcement learning

no code implementations28 Jan 2022 Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari

However, an underlying assumption spanning all these techniques is the complete availability of data across all levels of the temporal hierarchy, while this offers mathematical convenience but most of the time low frequency data is partially completed and it is not available while forecasting.

reinforcement-learning Reinforcement Learning (RL) +1

Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization

no code implementations15 Dec 2021 Himanshi Charotia, Abhishek Garg, Gaurav Dhama, Naman Maheshwari

In the context of demand forecasting or revenue forecasting, this challenge is further exacerbated by a large number of time series as well as limited historical data points available due to changing business context.

Model Selection Time Series +1

Application of Deep Reinforcement Learning to Payment Fraud

no code implementations8 Dec 2021 Siddharth Vimal, Kanishka Kayathwal, Hardik Wadhwa, Gaurav Dhama

In this study, we primarily focus on utility maximization and explore different reward functions to this end.

Decision Making Fraud Detection +3

KARL-Trans-NER: Knowledge Aware Representation Learning for Named Entity Recognition using Transformers

no code implementations30 Nov 2021 Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama

The inception of modeling contextual information using models such as BERT, ELMo, and Flair has significantly improved representation learning for words.

Machine Translation named-entity-recognition +5

A Comparative Study of Transformers on Word Sense Disambiguation

no code implementations30 Nov 2021 Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Dr. Anil Kumar Singh

Despite this progress, the NLP community has not witnessed any significant work performing a comparative study on the contextualization power of such architectures.

Word Embeddings Word Sense Disambiguation

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