| Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training O Agarwal, H Ge, S Shakeri, R Al-Rfou Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 243 | 2021 |
| Temporal Effects on Pre-trained Models for Language Processing Tasks O Agarwal, A Nenkova Transactions of the Association for Computational Linguistics 10, 904-921, 2022 | 70 | 2022 |
| Interpretability analysis for named entity recognition to understand system predictions and how they can improve O Agarwal, Y Yang, BC Wallace, A Nenkova Computational Linguistics 47 (1), 117-140, 2021 | 43 | 2021 |
| Machine translation aided bilingual data-to-text generation and semantic parsing O Agarwal, M Kale, H Ge, S Shakeri, R Al-Rfou Proceedings of the 3rd International Workshop on Natural Language Generation …, 2020 | 39 | 2020 |
| Entity-switched datasets: An approach to auditing the in-domain robustness of named entity recognition models O Agarwal, Y Yang, BC Wallace, A Nenkova arXiv preprint arXiv:2004.04123, 2020 | 27 | 2020 |
| Word embeddings (also) encode human personality stereotypes O Agarwal, F Durupınar, NI Badler, A Nenkova Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019 | 25 | 2019 |
| Predicting annotation difficulty to improve task routing and model performance for biomedical information extraction Y Yang, O Agarwal, C Tar, BC Wallace, A Nenkova Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 21 | 2019 |
| Evaluation of Named Entity Coreference O Agarwal, S Subramanian, A Nenkova, D Roth Proceedings of the Second Workshop on Computational Models of Reference …, 2019 | 20 | 2019 |
| From Toxicity in Online Comments to Incivility in American News: Proceed with Caution A Hede, O Agarwal, L Lu, DC Mutz, A Nenkova Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 19 | 2021 |
| Entity linking via dual and cross-attention encoders O Agarwal, DM Bikel arXiv preprint arXiv:2004.03555, 2020 | 10 | 2020 |
| Named entity recognition in a very homogenous domain O Agarwal, A Nenkova Findings of the Association for Computational Linguistics: EACL 2023, 1850-1855, 2023 | 4 | 2023 |
| The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English O Agarwal, A Nenkova Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 4 | 2021 |
| Multi-domain Summarization from Leaderboards to Practice: Re-examining Automatic and Human Evaluation D Demeter, O Agarwal, SB Igeri, M Sterbentz, N Molino, J Conroy, ... Proceedings of the Third Workshop on Natural Language Generation, Evaluation …, 2023 | 3* | 2023 |
| Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding O Agarwal Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12866 …, 2022 | 2 | 2022 |
| Browsing health: Information extraction to support new interfaces for accessing medical evidence S Parikh, E Conrad, O Agarwal, I Marshall, BC Wallace, A Nenkova Proceedings of the Workshop on Extracting Structured Knowledge from …, 2019 | 1 | 2019 |
| Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024) R Biswas, LA Kaffee, O Agarwal, P Minervini, S Singh, G De Melo Proceedings of the 1st Workshop on Knowledge Graphs and Large Language …, 2024 | | 2024 |
| Practical Named Entity Recognition: The Role of Entity and Its Context O Agarwal University of Pennsylvania, 2023 | | 2023 |
Ani NenkovaPrincipal Scientist at Adobe ResearchE-mailová adresa ověřena na: adobe.com