Pararth Shah

According to our database, Pararth Shah authored at least 22 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs.

Rahul Goel, Waleed Ammar, Aditya Gupta, Siddharth Vashishtha, Motoki Sano, Faiz Surani, Max Chang, HyunJeong Choe, David Greene, Kyle He, Rattima Nitisaroj, Anna Trukhina, Shachi Paul, Pararth Shah, Rushin Shah, Zhou Yu

CoRR, 2023

PRESTO: A Multilingual Dataset for Parsing Realistic Task-Oriented Dialogs.

Rahul Goel, Waleed Ammar, Aditya Gupta, Siddharth Vashishtha, Motoki Sano, Faiz Surani, Max Chang, HyunJeong Choe, David Greene, Chuan He, Rattima Nitisaroj, Anna Trukhina, Shachi Paul, Pararth Shah, Rushin Shah, Zhou Yu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning.

Geunseob Oh, Rahul Goel, Chris Hidey, Shachi Paul, Aditya Gupta, Pararth Shah, Rushin Shah

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2020

User Memory Reasoning for Conversational Recommendation.

Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu

CoRR, 2020

Multi-Action Dialog Policy Learning with Interactive Human Teaching.

Megha Jhunjhunwala, Caleb Bryant, Pararth Shah

Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming.

Zhenpeng Zhou, Ahmad Beirami, Paul A. Crook, Pararth Shah, Rajen Subba, Alborz Geramifard

Proceedings of the 28th International Conference on Computational Linguistics, 2020

User Memory Reasoning for Conversational Recommendation.

Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Philip S. Yu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Memory Grounded Conversational Reasoning.

Seungwhan Moon, Pararth Shah, Rajen Subba, Anuj Kumar

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue.

Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul A. Crook, Y-Lan Boureau, Jason Weston

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Memory Graph Networks for Explainable Memory-grounded Question Answering.

Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs.

Seungwhan Moon, Pararth Shah, Anuj Kumar, Rajen Subba

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning.

Pararth Shah, Marek Fiser, Aleksandra Faust, J. Chase Kew, Dilek Hakkani-Tür

CoRR, 2018

Building a Conversational Agent Overnight with Dialogue Self-Play.

Pararth Shah, Dilek Hakkani-Tür, Gökhan Tür, Abhinav Rastogi, Ankur Bapna, Neha Nayak, Larry P. Heck

CoRR, 2018

User Modeling for Task Oriented Dialogues.

Izzeddin Gur, Dilek Hakkani-Tür, Gökhan Tür, Pararth Shah

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning.

Pararth Shah, Dilek Hakkani-Tür, Bing Liu, Gökhan Tür

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems.

Bing Liu, Gökhan Tür, Dilek Hakkani-Tür, Pararth Shah, Larry P. Heck

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning.

Saurabh Kumar, Pararth Shah, Dilek Hakkani-Tür, Larry P. Heck

CoRR, 2017

End-to-End Optimization of Task-Oriented Dialogue Model with Deep Reinforcement Learning.

Bing Liu, Gökhan Tür, Dilek Hakkani-Tür, Pararth Shah, Larry P. Heck

CoRR, 2017

2016

Learning to Collectively Link Entities.

Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan

Proceedings of the 3rd IKDD Conference on Data Science, 2016

2015

Ringo: Interactive Graph Analytics on Big-Memory Machines.

Yonathan Perez, Rok Sosic, Arijit Banerjee, Rohan Puttagunta, Martin Raison, Pararth Shah, Jure Leskovec

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

An Approach to Collective Entity Linking.

Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan

Proceedings of the 12th International Conference on Natural Language Processing, 2015

2014

System for collective entity disambiguation.

Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan

Proceedings of the ERD'14, 2014