Currently browsing: Items authored or edited by Sagar Uprety

11 items in this list.
Generated on Mon Mar 27 12:03:26 2023 BST.

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Tiwari, Prayag; Uprety, Sagar; Dehdashti, Shahram and Hossain, M Shamim (2020). TermInformer: unsupervised term mining and analysis in biomedical literature. Neural computing & applications

Uprety, Sagar; Tiwari, Prayag; Dehdashti, Shahram; Fell, Lauren; Song, Dawei; Bruza, Peter and Melucci, Massimo (2020). Quantum-Like Structure in Multidimensional Relevance Judgements. In: Advances in Information Retrieval. ECIR 2020. (Jose, J.; Yilmaz, E.; Magalhães, J.; Castells, P.; Ferro, N.; Silva, M. and Martins, F. eds.), Lecture Notes in Computer Science, Springer, Cham, pp. 728–742.

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Uprety, Sagar; Dehdashti, Shahram; Fell, Lauren; Bruza, Peter and Song, Dawei (2019). Modelling Dynamic Interactions Between Relevance Dimensions. In: Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '19, ACM Press pp. 35–42.

Gkoumas, Dimitrios; Uprety, Sagar and Song, Dawei (2019). Investigating non-classical correlations between decision fused multi-modal documents. In: QI 2018: Quantum Interaction. Lecture Notes in Computer Science, Vol 11690 (Coecke, B and Lambert-Mogiliansky, A eds.), Springer, Cham pp. 163–176.

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Uprety, Sagar and Song, Dawei (2018). Investigating Order Effects in Multidimensional Relevance Judgment using Query Logs. In: ICTIR '18: Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, ACM Press, New York pp. 191–194.

Li, Qiuchi; Uprety, Sagar; Wang, Benyou and Song, Dawei (2018). Quantum-inspired Complex Word Embedding. In: Proceedings of the 3rd Workshop on Representation Learning for NLP, Association for Computational Linguistics, pp. 50–57.

Uprety, Sagar; Su, Yi; Song, Dawei and Li, Jingfei (2018). Modeling Multidimensional User Relevance in IR using Vector Spaces. In: SIGIR '18 The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 8-12 Jul 2018, Ann Arbor, MI, USA, ACM Press, pp. 993–996.


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