activity
20162021
most citedAn Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text

16 citations · 57 across the 10 of their papers we have counts for

collaborators

14 papers

cs.NI2021

Power Systems Performance under 5G Radio Access Network in a Co-Simulation Environment

Rahul Iyer, Biplav Choudhury, Vijay K. Shah +1

Communication can improve control of important system parameters by allowing different grid components to communicate their states with each other. This information exchange requir…

cs.LG20201 cited

An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce

Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen Guo +1

Searching for and making decisions about products is becoming increasingly easier in the e-commerce space, thanks to the evolution of recommender systems. Personalization and recom…

cs.CL20201 cited

Transition-Based Dependency Parsing using Perceptron Learner

Rahul Radhakrishnan Iyer, Miguel Ballesteros, Chris Dyer +1

Syntactic parsing using dependency structures has become a standard technique in natural language processing with many different parsing models, in particular data-driven models th…

cs.IR20204 cited

Modeling Product Search Relevance in e-Commerce

Rahul Radhakrishnan Iyer, Rohan Kohli, Shrimai Prabhumoye

With the rapid growth of e-Commerce, online product search has emerged as a popular and effective paradigm for customers to find desired products and engage in online shopping. How…

cs.IR20204 cited

A Correspondence Analysis Framework for Author-Conference Recommendations

Rahul Radhakrishnan Iyer, Manish Sharma, Vijaya Saradhi

For many years, achievements and discoveries made by scientists are made aware through research papers published in appropriate journals or conferences. Often, established scientis…

cs.CL20194 cited

Simultaneous Identification of Tweet Purpose and Position

Rahul Radhakrishnan Iyer, Yulong Pei, Katia Sycara

Tweet classification has attracted considerable attention recently. Most of the existing work on tweet classification focuses on topic classification, which classifies tweets into…