Ramesh Maruthi Nallapati

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Bing XiangDirector of Applied ScienceVerified email at amazon.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
William W. CohenGoogle AIVerified email at google.com
Andrew O. ArnoldChief Scientist, DelphiaVerified email at delphia.com
Caglar GulcehreStaff Research Scientist at Deepmind and PhD from MILAVerified email at google.com
Mihai SurdeanuAssociate Professor, 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 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
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


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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	2359	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	1816	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	1319	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	859	2012
Pointing the unknown words C Gulcehre, S Ahn, R Nallapati, B Zhou, Y Bengio arXiv preprint arXiv:1603.08148, 2016	641	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	548	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	482	2019
Discriminative models for information retrieval R Nallapati Proceedings of the 27th annual international ACM SIGIR conference on …, 2004	405	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	345	2007
Event threading within news topics R Nallapati, A Feng, F Peng, J Allan Proceedings of the thirteenth ACM international conference on Information …, 2004	344	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	240	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	181	2008
Sequence-to-sequence rnns for text summarization R Nallapati, B Xiang, B Zhou	175	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	129	2003
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	118	2021
Topic modeling with wasserstein autoencoders F Nan, R Ding, R Nallapati, B Xiang arXiv preprint arXiv:1907.12374, 2019	109	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	108	2020
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	103	2002
Classify or select: Neural architectures for extractive document summarization R Nallapati, B Zhou, M Ma arXiv preprint arXiv:1611.04244, 2016	96	2016
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	92	2019

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