Raghavendra Pappagari

Author

Johns Hopkins University

Also Known As

Lucas Ondel, Pappagari, Raghavendra, Raghavendra Pappagari, Raghavendra Reddy Pappagari

Publications

464

Citations

H-Index

Concepts

All Affiliations

Johns Hopkins University Meta (Israel)University of Minnesota, Duluth Swarthmore College John Brown University

About

Raghavendra Pappagari is an author at Johns Hopkins University specializing in engineering, natural language processing, and linguistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	281
2	Language Studies	4	4	169
3	Medicine	2	2	114
4	Arts	1	1	61
5	Health Sciences	1	1	53

Raghavendra Pappagari

Publications

405

Citations

H-Index

Page 1

	Year	Citations
Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni, EngineeringMachine LearningSpoken Language ProcessingMultimodal Sentiment AnalysisRecurrent Neural Network	2018	94
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling Alex Wang, Jan Hůla, Patrick Xia, EngineeringLanguage DevelopmentPsycholinguisticsMe HowPast Sesame Street	2019	90
Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer’s Disease and Assess its Severity Raghavendra Pappagari, Jaejin Cho, Laureano Moro-Velázquez, Alzheimer's DiseaseArt Speaker RecognitionSpeech ProcessingNeurologyAging-associated Disease	2020	61
Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Low-resource ScenariosAlzheimer's DiseaseHealth SciencesLanguage TechnologiesGeriatrics	2021	53
Hierarchical Transformers for Long Document Classification Raghavendra Pappagari, Piotr Żelasko, Jesús Villalba, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) Llm Fine-tuningEngineeringMachine LearningHierarchical TransformersMultilingual Pretraining	2019	34
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling. Samuel R. Bowman, Ellie Pavlick, Édouard Grave, Llm Fine-tuningEngineeringLanguage DevelopmentMultilingual PretrainingLarge Language Model	2018	23
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation Anna Currey, Maria Nădejde, Raghavendra Pappagari, Translation StudiesAnna CurreyEngineeringMultilingualismLanguage Processing	2022	22
Joint Verification-Identification in end-to-end Multi-Scale CNN Framework for Topic Identification Raghavendra Pappagari, Jesús Villalba, Najim Dehak Natural Language ProcessingConvolutional Neural NetworkEngineeringMachine LearningData Science	2018	18
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling Alex Wang, Jan Hůla, Patrick Xia, arXiv (Cornell University)	2018	10

Page 1