Natraj Raman

Orcid: 0009-0008-8866-1482

According to our database1, Natraj Raman authored at least 25 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DocLLM: A layout-aware generative language model for multimodal document understanding.
CoRR, 2024

Synthetic Data Applications in Finance.
CoRR, 2024

2023
Synthetic Text Generation using Hypergraph Representations.
CoRR, 2023

Aspect-based Summarization of Legal Case Files using Sentence Classification.
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.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Bayesian Hierarchical Models for Counterfactual Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Synthetic document generator for annotation-free layout recognition.
Pattern Recognit., 2022

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.
CoRR, 2022

Structure with Semantics: Exploiting Document Relations for Retrieval.
CoRR, 2022

Detecting Regulation Violations for an Indian Regulatory Body through Multi Label Classification.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

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

Structure and Semantics Preserving Document Representations.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020
Mapping ESG Trends by Distant Supervision of Neural Language Models.
Mach. Learn. Knowl. Extr., 2020

Robust Document Representations using Latent Topics and Metadata.
CoRR, 2020

2019
Financial Market Data Simulation Using Deep Intelligence Agents.
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.
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.
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.
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.
PhD thesis, 2016

Activity recognition using a supervised non-parametric hierarchical HMM.
Neurocomputing, 2016

Non-parametric Hidden Conditional Random Fields for action classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Action classification using a discriminative multilevel HDP-HMM.
Neurocomputing, 2015

2013
Action classification using a discriminative non-parametric Hidden Markov Model.
Proceedings of the Sixth International Conference on Machine Vision, 2013


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