activity
20162025
most citedA Sentiment-and-Semantics-Based Approach for Emotion Detection in Textual Conversations

82 citations · 95 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware

Ankit Dutta, Nabarup Ghosh, Ankush Chatterjee

Large Language models have demonstrated excellent domain-specific question-answering capabilities when finetuned with a particular dataset of that specific domain. However, fine-tu…

cs.OH2019★ 2 cited

Using AI for Economic Upliftment of Handicraft Industry

Nitya Raviprakash, Sonam Damani, Ankush Chatterjee +2

The handicraft industry is a strong pillar of Indian economy which provides large-scale employment opportunities to artisans in rural and underprivileged communities. However, in t…

cs.CL2018★ 3 cited

Ruuh: A Deep Learning Based Conversational Social Agent

Sonam Damani, Nitya Raviprakash, Umang Gupta +8

Dialogue systems and conversational agents are becoming increasingly popular in the modern society but building an agent capable of holding intelligent conversation with its users…

cs.CL2017★ 82 cited

A Sentiment-and-Semantics-Based Approach for Emotion Detection in Textual Conversations

Umang Gupta, Ankush Chatterjee, Radhakrishnan Srikanth +1

Emotions are physiological states generated in humans in reaction to internal or external events. They are complex and studied across numerous fields including computer science. As…

cs.CL2016★ 8 cited

A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference

Biswajit Paria, K. M. Annervaz, Ambedkar Dukkipati +2

In this work we use the recent advances in representation learning to propose a neural architecture for the problem of natural language inference. Our approach is aligned to mimic…