Sagar Uprety

Orcid: 0000-0001-7858-6265

According to our database1, Sagar Uprety authored at least 12 papers between 2018 and 2023.

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Bibliography

2023
CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Investigation and modelling of quantum-like user cognitive behaviour in information access and retrieval.
PhD thesis, 2021

A Survey of Quantum Theory Inspired Approaches to Information Retrieval.
ACM Comput. Surv., 2021

2020
Quantum-Like Structure in Multidimensional Relevance Judgements.
Proceedings of the Advances in Information Retrieval, 2020

2019
Modelling Dynamic Interactions Between Relevance Dimensions.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

2018
Reconciling Irrational Human Behavior with AI based Decision Making: A Quantum Probabilistic Approach.
CoRR, 2018

Modeling Multidimensional User Relevance in IR using Vector Spaces.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Quantum-Inspired Complex Word Embedding.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Investigating Bell Inequalities for Multidimensional Relevance Judgments in Information Retrieval.
Proceedings of the Quantum Interaction - 11th International Conference, 2018

Investigating Non-classical Correlations Between Decision Fused Multi-modal Documents.
Proceedings of the Quantum Interaction - 11th International Conference, 2018

Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018


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