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Amit Gajbhiye

Cloud computing: Need, enabling technology, architecture, advantages and challenges
2014 · Amit Gajbhiye, Krishna Mohan PD Shrivastva · International Conference on Cloud Computing, Data Science & Engineering (Confluence) · 44
ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference
2021 · Amit Gajbhiye, Noura Al Moubayed, et al. · Lecture notes in computer science · 10
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Modelling Commonsense Properties using Pre-Trained Bi-Encoders
2022 · Gajbhiye, Amit, Espinosa-Anke, Luis, et al. · arXiv (Cornell University) · 6
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Knowledge Distillation for Quality Estimation
2021 · Amit Gajbhiye, Marina Fomicheva, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 6
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Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models
2020 · Amit Gajbhiye, Thomas Winterbottom, et al. · Lecture notes in computer science · 6
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CAM: A Combined Attention Model for Natural Language Inference
2018 · Amit Gajbhiye, Sardar Jaf, et al. · IEEE International Conference on Big Data (BigData) · 6
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What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies
2023 · Amit Gajbhiye, Zied Bouraoui, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces
2023 · Usashi Chatterjee, Amit Gajbhiye, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Grouping Entities with Shared Properties using Multi-Facet Prompting and Property Embeddings
2025 · Amit Gajbhiye, Thomas Bailleux, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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AMenDeD: Modelling Concepts by Aligning Mentions, Definitions and Decontextualised Embeddings
2024 · Amit Gajbhiye, Zied Bouraoui, et al. · Language Resources and Evaluation Conference (LREC)
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deepQuest-py: Large and Distilled Models for Quality Estimation
2021 · Fernando Alva-Manchego, Abiola Obamuyide, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
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Enhancing the Reasoning Capabilities of Natural Language Inference Models with Attention Mechanisms and External Knowledge
2020 · Amit Gajbhiye · Durham e-Theses (Durham University)
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Works count: 17
Citation count: 78
H-index: 5
I10-index: 2
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