Shubhashis Sengupta — accepted AI-conference papers

2024

TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism

Priyanshu Priya, Desai Vishesh Yasheshbhai, Ratnesh Kumar Joshi, Roshni Ramnani, Anutosh Maitra, Shubhashis Sengupta +1

EMNLP 2024finding

A sophisticated negotiation dialogue system for tourism should engage in negotiations beyond mere price considerations, encompassing various other aspects and amenities inherent in the tourism package. To ensure such tailored interaction, it is imperative to understand the intricacies of traveler pr…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2022

Constraint-based Multi-hop Question Answering with Knowledge Graph

Sayantan Mitra, Roshni Ramnani, Shubhashis Sengupta

NAACL 2022industry

The objective of a Question-Answering system over Knowledge Graph (KGQA) is to respond to natural language queries presented over the KG. A complex question answering system typically addresses one of the two categories of complexity: questions with constraints and questions involving multiple hops…

Cited by 10 Source ↗PDF ↗Scholar ↗

2020

Intent Mining from past conversations for Conversational Agent

Ajay Chatterjee, Shubhashis Sengupta

COLING 2020main

Conversational systems are of primary interest in the AI community. Organizations are increasingly using chatbot to provide round-the-clock support and to increase customer engagement. Many commercial bot building frameworks follow a standard approach that requires one to build and train an intent m…

Cited by 49 Source ↗PDF ↗code ↗Scholar ↗