Natraj Raman

According to our database, Natraj Raman authored at least 27 papers between 2013 and 2024.

Collaborative distances:

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

2024

Scalable Representation Learning for Multimodal Tabular Transactions.

Natraj Raman, Sumitra Ganesh, Manuela Veloso

CoRR, 2024

Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports.

Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan

CoRR, 2024

Synthetic Data Applications in Finance.

Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch

CoRR, 2024

DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding.

Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu

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

2023

Synthetic Text Generation using Hypergraph Representations.

Natraj Raman, Sameena Shah

CoRR, 2023

Aspect-based Summarization of Legal Case Files using Sentence Classification.

Nikhil E, Anshul Padhi, Pulkit Parikh, Swati Kanwal, Kamalakar Karlapalem, Natraj Raman

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

BizGraphQA: A Dataset for Image-based Inference over Graph-structured Diagrams from Business Domains.

Petr Babkin, William Watson, Zhiqiang Ma, Lucas Cecchi, Natraj Raman, Armineh Nourbakhsh, Sameena Shah

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Bayesian Hierarchical Models for Counterfactual Estimation.

Natraj Raman, Daniele Magazzeni, Sameena Shah

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Synthetic document generator for annotation-free layout recognition.

Natraj Raman, Sameena Shah, Manuela Veloso

Pattern Recognit., 2022

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.

Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang

CoRR, 2022

Structure with Semantics: Exploiting Document Relations for Retrieval.

Natraj Raman, Sameena Shah, Manuela Veloso

CoRR, 2022

Detecting Regulation Violations for an Indian Regulatory Body through Multi Label Classification.

Ujwal Narayan, Pulkit Parikh, Kamalakar Karlapalem, Natraj Raman

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

SEBI Regulation Biography.

Sathvik Sanjeev Buggana, Deepti Saravanan, Shravya Kanchi, Ujwal Narayan, Shivam Mangale, Lini T. Thomas, Kamalakar Karlapalem, Natraj Raman

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Structure and Semantics Preserving Document Representations.

Natraj Raman, Sameena Shah, Manuela Veloso

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain.

Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, Wendi Du, Sudheer Chava, Natraj Raman, Charese Smiley, Jiaao Chen, Diyi Yang

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

2021

Domain-agnostic Document Representation Learning Using Latent Topics and Metadata.

Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

Mapping ESG Trends by Distant Supervision of Neural Language Models.

Natraj Raman, Grace Bang, Armineh Nourbakhsh

Mach. Learn. Knowl. Extr., 2020

Robust Document Representations using Latent Topics and Metadata.

Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso

CoRR, 2020

2019

Financial Market Data Simulation Using Deep Intelligence Agents.

Natraj Raman, Jochen L. Leidner

Proceedings of the Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 2019

MultiGraph Attention Network for analyzing Company Relations.

Natraj Raman, Grace Bang, Azadeh Nematzadeh

Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019

2018

An Extensible Event Extraction System With Cross-Media Event Resolution.

Fabio Petroni, Natraj Raman, Timothy Nugent, Armineh Nourbakhsh, Zarko Panic, Sameena Shah, Jochen L. Leidner

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

A comparison of classification models for natural disaster and critical event detection from news.

Timothy Nugent, Fabio Petroni, Natraj Raman, Lucas Carstens, Jochen L. Leidner

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Action recognition in depth videos using nonparametric probabilistic graphical models.

Natraj Raman

PhD thesis, 2016

Activity recognition using a supervised non-parametric hierarchical HMM.

Natraj Raman, Stephen J. Maybank

Neurocomputing, 2016

Non-parametric Hidden Conditional Random Fields for action classification.

Natraj Raman, Stephen J. Maybank

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Action classification using a discriminative multilevel HDP-HMM.

Natraj Raman, Stephen J. Maybank

Neurocomputing, 2015

2013

Action classification using a discriminative non-parametric Hidden Markov Model.

Natraj Raman, Stephen J. Maybank, Dell Zhang

Proceedings of the Sixth International Conference on Machine Vision, 2013