Named Person Coreference in English News. - Oshin Agarwal; Sanjay Subramanian; Ani Nenkova; Dan Roth (CoRR, 2018)

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 (NAACL-HLT (1), 2019)

Word Embeddings (Also) Encode Human Personality Stereotypes. - Oshin Agarwal; Funda Durupinar; Norman I. Badler; Ani Nenkova (*SEM@NAACL-HLT, 2019)

Entity Linking via Dual and Cross-Attention Encoders. - Oshin Agarwal; Daniel M. Bikel (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)

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)

The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English. - Oshin Agarwal; Ani Nenkova (ACL/IJCNLP (Findings), 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 (EACL, 2021)

Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training. - Oshin Agarwal; Heming Ge; Siamak Shakeri; Rami Al-Rfou (NAACL-HLT, 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)

Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding. - Oshin Agarwal (AAAI, 2022)

Temporal Effects on Pre-trained Models for Language Processing Tasks. - Oshin Agarwal; Ani Nenkova (Trans. Assoc. Comput. Linguistics, 2022)

Named Entity Recognition in a Very Homogenous Domain. - Oshin Agarwal; Ani Nenkova (EACL (Findings), 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)