Search Results for author: Rahul Radhakrishnan Iyer

Found 10 papers, 0 papers with code

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

no code implementations2 Nov 2020 Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen Guo, Kannan Achan

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

Recommendation Systems

Transition-Based Dependency Parsing using Perceptron Learner

no code implementations22 Jan 2020 Rahul Radhakrishnan Iyer, Miguel Ballesteros, Chris Dyer, Robert Frederking

Syntactic parsing using dependency structures has become a standard technique in natural language processing with many different parsing models, in particular data-driven models that can be trained on syntactically annotated corpora.

Transition-Based Dependency Parsing

Modeling Product Search Relevance in e-Commerce

no code implementations14 Jan 2020 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.

Information Retrieval Retrieval

A Correspondence Analysis Framework for Author-Conference Recommendations

no code implementations8 Jan 2020 Rahul Radhakrishnan Iyer, Manish Sharma, Vijaya Saradhi

Often, established scientists and especially newbies are caught up in the dilemma of choosing an appropriate conference to get their work through.

Collaborative Filtering Dimensionality Reduction

A Machine Learning Framework for Authorship Identification From Texts

no code implementations21 Dec 2019 Rahul Radhakrishnan Iyer, Carolyn Penstein Rose

We formulate the task as a single-label multi-class text categorization problem and propose a supervised machine learning framework incorporating stylometric features.

BIG-bench Machine Learning Information Retrieval +2

An Unsupervised Domain-Independent Framework for Automated Detection of Persuasion Tactics in Text

no code implementations13 Dec 2019 Rahul Radhakrishnan Iyer, Katia Sycara

With the increasing growth of social media, people have started relying heavily on the information shared therein to form opinions and make decisions.

Misinformation Multi-class Classification

Event Outcome Prediction using Sentiment Analysis and Crowd Wisdom in Microblog Feeds

no code implementations11 Dec 2019 Rahul Radhakrishnan Iyer, Ronghuo Zheng, Yuezhang Li, Katia Sycara

In this work, we investigate whether crowd wisdom is useful in predicting such outcomes and whether their opinions are influenced by the experts in the field.

Classification General Classification +2

Content-based Video Indexing and Retrieval Using Corr-LDA

no code implementations27 Feb 2016 Rahul Radhakrishnan Iyer, Sanjeel Parekh, Vikas Mohandoss, Anush Ramsurat, Bhiksha Raj, Rita Singh

Existing video indexing and retrieval methods on popular web-based multimedia sharing websites are based on user-provided sparse tagging.


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