Aparna Garimella

Research Scientist

Bangalore

Aparna is a Research Scientist at Adobe Big Data Experience Lab, Bangalore, India. Her research interests comprise of natural language processing, computational social science and applied machine learning. Aparna completed her PhD in computer science from University of Michigan in 2019. Her thesis was on “Demographic-Aware Natural Language Processing”. Prior to this, she completed her B. Tech. in computer science and engineering from Indian Institute of Technology Madras in 2014. 

Publications

DocScript: New Task, Dataset, and Models for Document-level Script Event Prediction

Mathur, P., Morariu, V., Garimella, A., Dernoncourt, F., Gu, J., Sawhney, R., Nakov, P., Manocha, D., Jain, R. (May. 25, 2024)

LREC-COLING 2024

A Neural CRF-based Hierarchical Approach for Linear Text Segmentation

Nair, I., Garimella, A., Srinivasan, B., Modani, N., Chhaya, N., Karanam, S., Shekhar, S. (May. 2, 2023)

Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Agent-specific Deontic Modality Detection in Legal Language

Sancheti, A., Garimella, A., Srinivasan, B., Rudinger, R. (Dec. 7, 2022)

Empirical Methods in Natural Language Processing (EMNLP)

Demographic-Aware Language Model Fine-tuning as a Bias Mitigation Technique

Garimella, A., Amarnath, A., Mihalcea, R. (Nov. 21, 2022)

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022)

ClauseRec: A Clause Recommendation Framework for AI-aided Contract Authoring

Aggarwal, V., Garimella, A., Srinivasan, B., Natarajan, A., Jain, R. (Nov. 7, 2021)

Empirical Methods in Natural Language Processing (EMNLP)

AUTOSUMM: Automatic Model Creation for Text Summarization

Nangi, S., Tyagi, A., Mundra, J., Mukherjee, S., Snehal, R., Chhaya, N., Garimella, A. (Nov. 7, 2021)

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation

Garimella, A., Amarnath, A., Kumar, K., Yalla, A., Natarajan, A., Chhaya, N., Srinivasan, B. (Aug. 2, 2021)

Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)

Domain-Aware Dependency Parsing for Questions

Garimella, A., Chiticariu, L., Li, Y. (Aug. 2, 2021)

Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)

DRAG: Director-Generator Language Modelling Framework for Non-Parallel Author Stylized Rewriting

Singh, H., Verma, G., Garimella, A., Srinivasan, B. (Apr. 19, 2021)

EACL 2021

EmpathBERT: A BERT-based Framework for Demographic-aware Empathy Prediction

Guda, B., Garimella, A., Chhaya, N. (Apr. 19, 2021)

EACL 2021

Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation

Saldanha, E., Garimella, A., Volkova, S. (Dec. 15, 2020)

The 13th International Conference on Natural Language Generation (INLG 2020)

“Judge me by my size (noun), do you?” YodaLib: A Demographic-Aware Humor Generation Framework

Garimella, A., Banea, C., Hossain, N., Mihalcea, R. (Dec. 8, 2020)

The 28th International Conference on Computational Linguistics (COLING 2020)