Shib Sankar Dasgupta

According to our database, Shib Sankar Dasgupta authored at least 14 papers between 2018 and 2025.

Collaborative distances:

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

2025

A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings.

Shib Sankar Dasgupta, Michael Boratko, Andrew McCallum

CoRR, February, 2025

2024

Learning Representations for Hierarchies with Minimal Support.

Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Sankar Dasgupta, Hung Le, Andrew McCallum

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Answering Compositional Queries with Set-Theoretic Embeddings.

Shib Sankar Dasgupta, Andrew McCallum, Steffen Rendle, Li Zhang

CoRR, 2023

2022

Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings.

Shib Sankar Dasgupta, Michael Boratko, Siddhartha Mishra, Shriya Atmakuri, Dhruvesh Patel, Xiang Li, Andrew McCallum

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Word2Box: Learning Word Representation Using Box Embeddings.

Shib Sankar Dasgupta, Michael Boratko, Shriya Atmakuri, Xiang Lorraine Li, Dhruvesh Patel, Andrew McCallum

CoRR, 2021

Min/max stability and box distributions.

Michael Boratko, Javier Burroni, Shib Sankar Dasgupta, Andrew McCallum

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Box-To-Box Transformations for Modeling Joint Hierarchies.

Shib Sankar Dasgupta, Xiang Lorraine Li, Michael Boratko, Dongxu Zhang, Andrew McCallum

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning.

Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Box Embeddings: An open-source library for representation learning using geometric structures.

Tejas Chheda, Purujit Goyal, Trang Tran, Dhruvesh Patel, Michael Boratko, Shib Sankar Dasgupta, Andrew McCallum

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020

Improving Local Identifiability in Probabilistic Box Embeddings.

Shib Sankar Dasgupta, Michael Boratko, Dongxu Zhang, Luke Vilnis, Xiang Li, Andrew McCallum

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Representing Joint Hierarchies with Box Embeddings.

Dhruvesh Patel, Shib Sankar Dasgupta, Michael Boratko, Xiang Li, Luke Vilnis, Andrew McCallum

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

2018

AD3: Attentive Deep Document Dater.

Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding.

Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Dating Documents using Graph Convolution Networks.

Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018