Ramesh Maruthi Nallapati

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Bing XiangDirector of Applied ScienceVerified email at amazon.com
Bowen ZhouPresident of JD Cloud & AI; IEEE Fellow; Chair of Technology Committee JD.com Group;Verified email at jd.com
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
William W. CohenGoogle AIVerified email at google.com
Andrew O. ArnoldChief Scientist, DelphiaVerified email at delphia.com
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaVerified email at email.arizona.edu
James AllanUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Caglar GulcehreStaff Research Scientist at Deepmind and PhD from MILAVerified email at google.com
Daniel RamageGoogle ResearchVerified email at google.com
David HallMicrosoftVerified email at MICROSOFT.COM
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
J. Blair PerotProfessor of Mechanical Engineering, University of Massachusetts, AmherstVerified email at acad.umass.edu
Julie TibshiraniElasticsearch BVVerified 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
Victor Lavrenkoex-professor at the University of EdinburghVerified email at inf.ed.ac.uk
Xiaolin ShiSnap Inc.Verified email at snap.com

Ramesh Maruthi Nallapati

Principal Applied Scientist, Amazon AWS AI

Verified email at amazon.com

Artificial Intelligence Deep Learning Natural Language Processing Question Answering Summarization


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Abstractive text summarization using sequence-to-sequence rnns and beyond R Nallapati, B Zhou, C Gulcehre, B Xiang arXiv preprint arXiv:1602.06023, 2016	2201	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	1778	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	1242	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	849	2012
Pointing the unknown words C Gulcehre, S Ahn, R Nallapati, B Zhou, Y Bengio arXiv preprint arXiv:1603.08148, 2016	623	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	536	2008
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	438	2019
Discriminative models for information retrieval R Nallapati Proceedings of the 27th annual international ACM SIGIR conference on …, 2004	397	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	341	2007
Event threading within news topics R Nallapati, A Feng, F Peng, J Allan Proceedings of the thirteenth ACM international conference on Information …, 2004	339	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	215	2019
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	179	2008
Sequence-to-sequence rnns for text summarization R Nallapati, B Xiang, B Zhou	171	2016
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	136	2003
Capturing term dependencies using a language model based on sentence trees R Nallapati, J Allan Proceedings of the eleventh international conference on Information and …, 2002	98	2002
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	96	2021
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	95	2020
Topic modeling with wasserstein autoencoders F Nan, R Ding, R Nallapati, B Xiang arXiv preprint arXiv:1907.12374, 2019	95	2019
Parallelized variational EM for latent Dirichlet allocation: An experimental evaluation of speed and scalability R Nallapati, W Cohen, J Lafferty Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007	90	2007
Classify or select: Neural architectures for extractive document summarization R Nallapati, B Zhou, M Ma arXiv preprint arXiv:1611.04244, 2016	89	2016

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