Aparna Elangovan

According to our database, Aparna Elangovan authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge.

Aparna Elangovan, Jongwoo Ko, Lei Xu, Mahsa Elyasi, Ling Liu, Sravan Bodapati, Dan Roth

CoRR, 2024

Principles from Clinical Research for NLP Model Generalization.

Aparna Elangovan, Jiayuan He, Yuan Li, Karin Verspoor

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization.

Lei Xu, Mohammed Asad Karim, Saket Dingliwal, Aparna Elangovan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models.

Aparna Elangovan, Ling Liu, Lei Xu, Sravan Babu Bodapati, Dan Roth

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Effects of Human Adversarial and Affable Samples on BERT Generalizability.

Aparna Elangovan, Estrid He, Yuan Li, Karin Verspoor

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

2022

Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT.

Aparna Elangovan, Yuan Li, Douglas E. V. Pires, Melissa J. Davis, Karin Verspoor

BMC Bioinform., 2022

2021

Memorization vs. Generalization : Quantifying Data Leakage in NLP Performance Evaluation.

Aparna Elangovan, Jiayuan He, Karin Verspoor

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

2020

Assigning function to protein-protein interactions: a weakly supervised BioBERT based approach using PubMed abstracts.

Aparna Elangovan, Melissa J. Davis, Karin Verspoor

CoRR, 2020

2019

Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine.

Rezarta Islamaj Dogan, Sun Kim, Andrew Chatr-aryamontri, Chih-Hsuan Wei, Donald C. Comeau, Rui Antunes, Sérgio Matos, Qingyu Chen, Aparna Elangovan, Nagesh C. Panyam, Karin Verspoor, Hongfang Liu, Yanshan Wang, Zhuang Liu, Berna Altinel, Zehra Melce Hüsünbeyi, Arzucan Özgür, Aris Fergadis, Chen-Kai Wang, Hong-Jie Dai, Tung Tran, Ramakanth Kavuluru, Ling Luo, Albert Steppi, Jinfeng Zhang, Jinchan Qu, Zhiyong Lu

Database J. Biol. Databases Curation, 2019

2018

BioCreative VI Precision Medicine Track system performance is constrained by entity recognition and variations in corpus characteristics.

Qingyu Chen, Nagesh C. Panyam, Aparna Elangovan, Karin Verspoor

Database J. Biol. Databases Curation, 2018