Ramesh Maruthi Nallapati

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Bing XiangHead of AI Research, Goldman SachsVerified email at gs.com
Bowen ZhouChair Professor, Department of Electrical Engineering, Tsinghua University; Founder of Frontis.aiVerified email at tsinghua.edu.cn
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Andrew O. ArnoldPrincipal Machine Learning Engineer, ShopifyVerified email at shopify.com
William W. CohenCMU and Google DeepMindVerified email at google.com
Caglar GulcehreAI Researcher, Prof at EPFL, Consultant@Google DeepMind, ex-Staff Research Scientist@Google DeepMindVerified email at google.com
Mihai SurdeanuProfessor, Computer Science, University of ArizonaVerified email at email.arizona.edu
James AllanUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Daniel RamageGoogle ResearchVerified email at google.com
David HallStanfordVerified email at stanford.edu
Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Julie TibshiraniSourcegraphVerified email at cs.stanford.edu
Fuchun PengResearch ManagerVerified email at fb.com
Ao FengChengdu University of Information TechnologyVerified email at cuit.edu.cn
Ram NevatiaVerified email at usc.edu
Daniel McFarlandProfessor of Education, Stanford UniversityVerified email at stanford.edu
Xiaolin ShiSnap Inc.Verified email at snap.com
Jure LeskovecProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu

Ramesh Maruthi Nallapati

Principal Applied Scientist, Amazon AWS AI

Verified email at amazon.com

Artificial Intelligence Deep Learning Natural Language Processing Question Answering Summarization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Abstractive text summarization using sequence-to-sequence rnns and beyond R Nallapati, B Zhou, C Gulcehre, B Xiang arXiv preprint arXiv:1602.06023, 2016	3022	2016
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora D Ramage, D Hall, R Nallapati, CD Manning Proceedings of the 2009 conference on empirical methods in natural language …, 2009	1933	2009
Summarunner: A recurrent neural network based sequence model for extractive summarization of documents R Nallapati, F Zhai, B Zhou Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017	1597	2017
Multi-instance multi-label learning for relation extraction M Surdeanu, J Tibshirani, R Nallapati, CD Manning Proceedings of the 2012 joint conference on empirical methods in natural …, 2012	929	2012
Ocgan: One-class novelty detection using gans with constrained latent representations P Perera, R Nallapati, B Xiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	689	2019
Pointing the unknown words C Gulcehre, S Ahn, R Nallapati, B Zhou, Y Bengio arXiv preprint arXiv:1603.08148, 2016	683	2016
Joint latent topic models for text and citations RM Nallapati, A Ahmed, EP Xing, WW Cohen Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	561	2008
Discriminative models for information retrieval R Nallapati Proceedings of the 27th annual international ACM SIGIR conference on …, 2004	435	2004
A comparative study of methods for transductive transfer learning A Arnold, R Nallapati, WW Cohen Seventh IEEE international conference on data mining workshops (ICDMW 2007 …, 2007	382	2007
Event threading within news topics R Nallapati, A Feng, F Peng, J Allan Proceedings of the thirteenth ACM international conference on Information …, 2004	360	2004
Multi-passage BERT: A globally normalized BERT model for open-domain question answering Z Wang, P Ng, X Ma, R Nallapati, B Xiang arXiv preprint arXiv:1908.08167, 2019	340	2019
Supporting clustering with contrastive learning D Zhang, F Nan, X Wei, S Li, H Zhu, K McKeown, R Nallapati, A Arnold, ... arXiv preprint arXiv:2103.12953, 2021	231	2021
Sequence-to-sequence rnns for text summarization R Nallapati, B Xiang, B Zhou	197	2016
Link-PLSA-LDA: A new unsupervised model for topics and influence of blogs R Nallapati, W Cohen Proceedings of the International AAAI Conference on Web and Social Media 2 …, 2008	187	2008
Entity-level factual consistency of abstractive text summarization F Nan, R Nallapati, Z Wang, CN Santos, H Zhu, D Zhang, K McKeown, ... arXiv preprint arXiv:2102.09130, 2021	172	2021
Topic modeling with wasserstein autoencoders F Nan, R Ding, R Nallapati, B Xiang arXiv preprint arXiv:1907.12374, 2019	163	2019
Elastic machine learning algorithms in amazon sagemaker E Liberty, Z Karnin, B Xiang, L Rouesnel, B Coskun, R Nallapati, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020	147	2020
A moving unstructured staggered mesh method for the simulation of incompressible free-surface flows B Perot, R Nallapati Journal of computational physics 184 (1), 192-214, 2003	140	2003
Domain adaptation with BERT-based domain classification and data selection X Ma, P Xu, Z Wang, R Nallapati, B Xiang Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource …, 2019	131	2019
Mixed-curvature multi-relational graph neural network for knowledge graph completion S Wang, X Wei, CN Nogueira dos Santos, Z Wang, R Nallapati, A Arnold, ... Proceedings of the web conference 2021, 1761-1771, 2021	122	2021

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