activity
20172022
most citedImproving generation quality of pointer networks via guided attention

3 citations · 8 across the 6 of their papers we have counts for

collaborators

11 papers

cs.CL20221 cited

Opponent Modeling in Negotiation Dialogues by Related Data Adaptation

Kushal Chawla, Gale M. Lucas, Jonathan May +1

Opponent modeling is the task of inferring another party's mental state within the context of social interactions. In a multi-issue negotiation, it involves inferring the relative…

cs.HC2021

Towards Emotion-Aware Agents For Negotiation Dialogues

Kushal Chawla, Rene Clever, Jaysa Ramirez +2

Negotiation is a complex social interaction that encapsulates emotional encounters in human decision-making. Virtual agents that can negotiate with humans are useful in pedagogy an…

cs.CL2021

CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems

Kushal Chawla, Jaysa Ramirez, Rene Clever +3

Automated systems that negotiate with humans have broad applications in pedagogy and conversational AI. To advance the development of practical negotiation systems, we present CaSi…

cs.CL2020

LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets

Abhilasha Sancheti, Kushal Chawla, Gaurav Verma

We describe our system for WNUT-2020 shared task on the identification of informative COVID-19 English tweets. Our system is an ensemble of various machine learning methods, levera…

cs.HC2020

Pilot: Winner of the Human-Agent Negotiation Challenge at IJCAI 2020

Kushal Chawla, Gale Lucas

This document describes our agent Pilot, winner of the Human-Agent Negotiation Challenge at ANAC, IJCAI 2020. Pilot is a virtual human that participates in a sequence of three nego…

cs.CL2020

Exploring Early Prediction of Buyer-Seller Negotiation Outcomes

Kushal Chawla, Gale Lucas, Jonathan May +1

Agents that negotiate with humans find broad applications in pedagogy and conversational AI. Most efforts in human-agent negotiations rely on restrictive menu-driven interfaces for…