Anandhavelu Natarajan

According to our database, Anandhavelu Natarajan authored at least 21 papers between 2013 and 2024.

Collaborative distances:

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

2024

Presentations are not always linear! GNN meets LLM for Document-to-Presentation Transformation with Attribution.

Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella, Anandhavelu Natarajan

CoRR, 2024

Enhancing Presentation Slide Generation by LLMs with a Multi-Staged End-to-End Approach.

Sambaran Bandyopadhyay, Himanshu Maheshwari, Anandhavelu Natarajan, Apoorv Saxena

Proceedings of the 17th International Natural Language Generation Conference, 2024

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement.

Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Presentations are not always linear! GNN meets LLM for Text Document-to-Presentation Transformation with Attribution.

Himanshu Maheshwari, Sambaran Bandyopadhyay, Aparna Garimella, Anandhavelu Natarajan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents.

Ishani Mondal, Shwetha S, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, Jordan L. Boyd-Graber

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction.

Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber

CoRR, 2023

LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents.

Puneet Mathur, Rajiv Jain, Ashutosh Mehra, Jiuxiang Gu, Franck Dernoncourt, Anandhavelu Natarajan, Quan Hung Tran, Verena Kaynig-Fittkau, Ani Nenkova, Dinesh Manocha, Vlad I. Morariu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Entity Extraction in Low Resource Domains with Selective Pre-training of Large Language Models.

Aniruddha Mahapatra, Sharmila Reddy Nangi, Aparna Garimella, Anandhavelu Natarajan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis, and Recommendation.

Soumyadeep Roy, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan, Niloy Ganguly

ACM Trans. Web, 2021

Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus.

Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Abhilasha Sancheti

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

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

Vinay Aggarwal, Aparna Garimella, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Rajiv Jain

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

Knowledge-Aware Neural Networks for Medical Forum Question Classification.

Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Aparna Garimella, Akhash Amarnath, Kiran Kumar, Akash Pramod Yalla, Anandhavelu Natarajan, Niyati Chhaya, Balaji Vasan Srinivasan

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

2020

Multi-dimensional Style Transfer for Partially Annotated Data using Language Models as Discriminators.

Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Abhilasha Sancheti

CoRR, 2020

Reinforced Rewards Framework for Text Style Transfer.

Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan

Proceedings of the Advances in Information Retrieval, 2020

Adapting Language Models for Non-Parallel Author-Stylized Rewriting.

Bakhtiyar Syed, Gaurav Verma, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Vasudeva Varma

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Understanding Brand Consistency from Web Content.

Soumyadeep Roy, Niloy Ganguly, Shamik Sural, Niyati Chhaya, Anandhavelu Natarajan

Proceedings of the 11th ACM Conference on Web Science, 2019

Understanding Community Rivalry on Social Media: A Case Study of Two Footballing Giants.

Sopan Khosla, Siddhant Arora, Abhilash Nandy, Ankita Saxena, Anandhavelu Natarajan

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

2015

Community reaction: from blogs to Facebook.

Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Moumita Sinha

Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015

2014

Topic-based targeted influence maximization.

Balaji Vasan Srinivasan, Anandhavelu Natarajan, Aseem Dalal, Madhavi Yenugula, Prashanth Srikanthan, Arijit Layek

Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

2013

Will your facebook post be engaging?

Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Vineet Gupta, Shriram Revankar, Balaraman Ravindran

Proceedings of the 1st workshop on User engagement optimization, 2013