activity
20212024
most citedComputational Politeness in Natural Language Processing: A Survey

25 citations · 30 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2024★ 25 cited

Computational Politeness in Natural Language Processing: A Survey

Priyanshu Priya, Mauajama Firdaus, Asif Ekbal

Computational approach to politeness is the task of automatically predicting and generating politeness in text. This is a pivotal task for conversational analysis, given the ubiqui…

cs.CV2023

A Unified Framework for Slot based Response Generation in a Multimodal Dialogue System

Mauajama Firdaus, Avinash Madasu, Asif Ekbal

Natural Language Understanding (NLU) and Natural Language Generation (NLG) are the two critical components of every conversational system that handles the task of understanding the…

cs.CL2023

Prompt-Based Editing for Text Style Transfer

Guoqing Luo, Yu Tong Han, Lili Mou +1

Prompting approaches have been recently explored in text style transfer, where a textual prompt is used to query a pretrained language model to generate style-transferred texts wor…

cs.CL2022

A Unified Framework for Emotion Identification and Generation in Dialogues

Avinash Madasu, Mauajama Firdaus, Asif Eqbal

Social chatbots have gained immense popularity, and their appeal lies not just in their capacity to respond to the diverse requests from users, but also in the ability to develop a…

cs.CL2022

EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues

Gopendra Vikram Singh, Priyanshu Priya, Mauajama Firdaus +2

The long-standing goal of Artificial Intelligence (AI) has been to create human-like conversational systems. Such systems should have the ability to develop an emotional connection…

cs.CL2021★ 5 cited

Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic

Zijun Wu, Zi Xuan Zhang, Atharva Naik +3

Natural language inference (NLI) aims to determine the logical relationship between two sentences, such as Entailment, Contradiction, and Neutral. In recent years, deep learning mo…