| VeeAlign: A Supervised Deep Learning Approach to Ontology Alignment⋆ V Iyer, A Agarwal, H Kumar OM Workshop, ISWC 2020, 2020 | 25 | 2020 |
| VeeAlign: Multifaceted Context Representation Using Dual Attention for Ontology Alignment V Iyer, A Agarwal, H Kumar EMNLP 2021 (Main), 10780-10792, 2021 | 21* | 2021 |
| A Deep Learning Approach for Ontology Enrichment from Unstructured Text LM Sanagavarapu, V Iyer, R Reddy CRC Press (Taylor & Francis Group), 2021 | 17* | 2021 |
| A Survey on Ontology Enrichment from Text V Iyer, LM Mohan, YRB Reddy, M Bhatia ICON 2019, 2019 | 8 | 2019 |
| Towards effective disambiguation for machine translation with large language models V Iyer, P Chen, A Birch WMT @ EMNLP 2023, 2023 | 5 | 2023 |
| A framework for syntactic and semantic quality evaluation of ontologies V Iyer, LM Sanagavarapu, R Reddy SKM 2021, 2021 | 4 | 2021 |
| Exploring enhanced code-switched noising for pretraining in neural machine translation V Iyer, A Oncevay, A Birch EACL 2023 (Findings), 984-998, 2023 | 1 | 2023 |
| The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT) F Kirefu, V Iyer, P Chen, L Burchell WMT @ EMNLP 2022, 2022 | 1 | 2022 |
| Code-Switching with Word Senses for Pretraining in Neural Machine Translation V Iyer, E Barba, A Birch, JZ Pan, R Navigli EMNLP 2023 (Findings), 2023 | | 2023 |
Arvind AgarwalPalo Alto Research Center, Rochester NYGeverifieerd e-mailadres voor xerox.com
