Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI

no code implementations • NAACL (ACL) 2022 • Pragaash Ponnusamy, Clint Solomon Mathialagan, Gustavo Aguilar, Chengyuan Ma, Chenlei Guo

Self-learning paradigms in large-scale conversational AI agents tend to leverage user feedback in bridging between what they say and what they mean.

Data Augmentation graph construction +1

A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning

no code implementations • RepL4NLP (ACL) 2022 • Md Mofijul Islam, Gustavo Aguilar, Pragaash Ponnusamy, Clint Solomon Mathialagan, Chengyuan Ma, Chenlei Guo

Additionally, the dependency on a fixed vocabulary limits the subword models' adaptability across languages and domains.

Sentiment Analysis

Personalized Query Rewriting in Conversational AI Agents

no code implementations • 9 Nov 2020 • Alireza Roshan-Ghias, Clint Solomon Mathialagan, Pragaash Ponnusamy, Lambert Mathias, Chenlei Guo

Spoken language understanding (SLU) systems in conversational AI agents often experience errors in the form of misrecognitions by automatic speech recognition (ASR) or semantic gaps in natural language understanding (NLU).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

CloudCV: Large Scale Distributed Computer Vision as a Cloud Service

no code implementations • 12 Jun 2015 • Harsh Agrawal, Clint Solomon Mathialagan, Yash Goyal, Neelima Chavali, Prakriti Banik, Akrit Mohapatra, Ahmed Osman, Dhruv Batra

We are witnessing a proliferation of massive visual data.

Distributed Computing

VIP: Finding Important People in Images

no code implementations • CVPR 2015 • Clint Solomon Mathialagan, Andrew C. Gallagher, Dhruv Batra

We address two specific questions -- Given an image, who are the most important individuals in it?