Oshin Agarwal

According to our database, Oshin Agarwal authored at least 14 papers between 2018 and 2023.

Collaborative distances:

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

2023

Summarization from Leaderboards to Practice: Choosing A Representation Backbone and Ensuring Robustness.

David Demeter, Oshin Agarwal, Simon Ben Igeri, Marko Sterbentz, Neil P. Molino, John M. Conroy, Ani Nenkova

CoRR, 2023

Named Entity Recognition in a Very Homogenous Domain.

Oshin Agarwal, Ani Nenkova

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Temporal Effects on Pre-trained Models for Language Processing Tasks.

Oshin Agarwal, Ani Nenkova

Trans. Assoc. Comput. Linguistics, 2022

Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding.

Oshin Agarwal

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve.

Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova

Comput. Linguistics, 2021

Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training.

Oshin Agarwal, Heming Ge, Siamak Shakeri, Rami Al-Rfou

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

From Toxicity in Online Comments to Incivility in American News: Proceed with Caution.

Anushree Hede, Oshin Agarwal, Linda Lu, Diana C. Mutz, Ani Nenkova

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English.

Oshin Agarwal, Ani Nenkova

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

2020

Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training.

Oshin Agarwal, Heming Ge, Siamak Shakeri, Rami Al-Rfou

CoRR, 2020

Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models.

Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova

CoRR, 2020

Entity Linking via Dual and Cross-Attention Encoders.

Oshin Agarwal, Daniel M. Bikel

CoRR, 2020

2019

Word Embeddings (Also) Encode Human Personality Stereotypes.

Oshin Agarwal, Funda Durupinar, Norman I. Badler, Ani Nenkova

Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics, 2019

Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction.

Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Named Person Coreference in English News.

Oshin Agarwal, Sanjay Subramanian, Ani Nenkova, Dan Roth

CoRR, 2018