Amit Gajbhiye

According to our database, Amit Gajbhiye authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

AMenDeD: Modelling Concepts by Aligning Mentions, Definitions and Decontextualised Embeddings.

Amit Gajbhiye, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies.

Amit Gajbhiye, Zied Bouraoui, Na Li, Usashi Chatterjee, Luis Espinosa Anke, Steven Schockaert

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

Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces.

Usashi Chatterjee, Amit Gajbhiye, Steven Schockaert

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

2022

Modelling Commonsense Properties Using Pre-Trained Bi-Encoders.

Amit Gajbhiye, Luis Espinosa Anke, Steven Schockaert

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

2021

ExBERT: An External Knowledge Enhanced BERT for Natural Language Inference.

Amit Gajbhiye, Noura Al Moubayed, Steven Bradley

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

deepQuest-py: Large and Distilled Models for Quality Estimation.

Fernando Alva-Manchego, Abiola Obamuyide, Amit Gajbhiye, Frédéric Blain, Marina Fomicheva, Lucia Specia

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

Knowledge Distillation for Quality Estimation.

Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego, Frédéric Blain, Abiola Obamuyide, Nikolaos Aletras, Lucia Specia

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Enhancing the reasoning capabilities of natural language inference models with attention mechanisms and external knowledge.

Amit Gajbhiye

PhD thesis, 2020

Bilinear Fusion of Commonsense Knowledge with Attention-Based NLI Models.

Amit Gajbhiye, Thomas Winterbottom, Noura Al Moubayed, Steven Bradley

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2018

Resource Provisioning and Scheduling Algorithm for Meeting Cost and Deadline-Constraints of Scientific Workflows in IaaS Clouds.

Amit Gajbhiye, Shailendra Singh

CoRR, 2018

An Exploration of Dropout with RNNs for Natural Language Inference.

Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, A. Stephen McGough, Steven Bradley

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

CAM: A Combined Attention Model for Natural Language Inference.

Amit Gajbhiye, Sardar F. Jaf, Noura Al Moubayed, Steven Bradley, A. Stephen McGough

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018