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ORCIDOshin Agarwal
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2020 – today
- 2023
[c7]Oshin Agarwal, Ani Nenkova:
Named Entity Recognition in a Very Homogenous Domain. EACL (Findings) 2023: 1805-1810- [i9]David Demeter, Oshin Agarwal, Simon Ben Igeri, Marko Sterbentz, Neil P. Molino, John M. Conroy, Ani Nenkova:
Summarization from Leaderboards to Practice: Choosing A Representation Backbone and Ensuring Robustness. CoRR abs/2306.10555 (2023) - 2022
- [j2]Oshin Agarwal, Ani Nenkova:
Temporal Effects on Pre-trained Models for Language Processing Tasks. Trans. Assoc. Comput. Linguistics 10: 904-921 (2022) - [c6]Oshin Agarwal:
Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding. AAAI 2022: 12866-12867 - 2021
- [j1]Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova:
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. Comput. Linguistics 47(1): 117-140 (2021) - [c5]Oshin Agarwal, Ani Nenkova:
The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English. ACL/IJCNLP (Findings) 2021: 3990-4002 - [c4]Anushree Hede, Oshin Agarwal, Linda Lu, Diana C. Mutz, Ani Nenkova:
From Toxicity in Online Comments to Incivility in American News: Proceed with Caution. EACL 2021: 2620-2630 - [c3]Oshin Agarwal, Heming Ge, Siamak Shakeri, Rami Al-Rfou:
Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training. NAACL-HLT 2021: 3554-3565 - [i8]Anushree Hede, Oshin Agarwal, Linda Lu, Diana C. Mutz, Ani Nenkova:
From Toxicity in Online Comments to Incivility in American News: Proceed with Caution. CoRR abs/2102.03671 (2021) - [i7]Oshin Agarwal, Ani Nenkova:
Temporal Effects on Pre-trained Models for Language Processing Tasks. CoRR abs/2111.12790 (2021) - 2020
- [i6]Oshin Agarwal, Daniel M. Bikel:
Entity Linking via Dual and Cross-Attention Encoders. CoRR abs/2004.03555 (2020) - [i5]Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova:
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models. CoRR abs/2004.04123 (2020) - [i4]Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova:
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. CoRR abs/2004.04564 (2020) - [i3]Oshin Agarwal, Heming Ge, Siamak Shakeri, Rami Al-Rfou:
Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training. CoRR abs/2010.12688 (2020)
2010 – 2019
- 2019
- [c2]Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova:
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. NAACL-HLT (1) 2019: 1471-1480 - [c1]Oshin Agarwal, Funda Durupinar, Norman I. Badler, Ani Nenkova:
Word Embeddings (Also) Encode Human Personality Stereotypes. *SEM@NAACL-HLT 2019: 205-211 - [i2]Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova:
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. CoRR abs/1905.07791 (2019) - 2018
- [i1]Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, Dan Roth:
Named Person Coreference in English News. CoRR abs/1810.11476 (2018)
Coauthor Index
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