Ramesh Maruthi Nallapati

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Coauteurs

Bing XiangPrincipal ScientistAdresse e-mail validée de amazon.com
Bowen ZhouPresident of JD Cloud & AI; IEEE Fellow; Chair of Technology Committee JD.com Group;Adresse e-mail validée de jd.com
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityAdresse e-mail validée de stanford.edu
William W. CohenGoogle AIAdresse e-mail validée de google.com
James AllanUniversity of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaAdresse e-mail validée de email.arizona.edu
Caglar GulcehreResearch Scientist at Deepmind and PhD from MILAAdresse e-mail validée de iro.umontreal.ca
J. Blair PerotProfessor of Mechanical Engineering, University of Massachusetts, AmherstAdresse e-mail validée de acad.umass.edu
Daniel RamageGoogle ResearchAdresse e-mail validée de google.com
David HallMicrosoftAdresse e-mail validée de MICROSOFT.COM
Andrew O. ArnoldSenior Science Manager, Amazon AWS AI LabsAdresse e-mail validée de amazon.com
Amr AhmedSenior Staff Research Scientist, Google AIAdresse e-mail validée de google.com
Eric XingProfessor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Julie TibshiraniElasticsearch BVAdresse e-mail validée de cs.stanford.edu
Fuchun PengResearch ManagerAdresse e-mail validée de fb.com
Ao FengChengdu University of Information TechnologyAdresse e-mail validée de cuit.edu.cn
Ram NevatiaAdresse e-mail validée de usc.edu
Daniel McFarlandProfessor of Education, Stanford UniversityAdresse e-mail validée de stanford.edu
Victor LavrenkoLecturer (Assistant Professor) at the University of EdinburghAdresse e-mail validée de inf.ed.ac.uk
Xiaolin ShiSnap Inc.Adresse e-mail validée de snap.com

Ramesh Maruthi Nallapati

Principal Applied Scientist, Amazon AWS AI

Adresse e-mail validée de amazon.com

Artificial Intelligence Deep Learning Natural Language Processing Question Answering Summarization


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Conditional random fields: Probabilistic models for segmenting and labeling sequence data J Lafferty, A McCallum, FCN Pereira	15071	2001
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	1480	2009
Abstractive text summarization using sequence-to-sequence rnns and beyond R Nallapati, B Zhou, C Gulcehre, B Xiang arXiv preprint arXiv:1602.06023, 2016	1155	2016
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	658	2012
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	580	2017
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	476	2008
Pointing the unknown words C Gulcehre, S Ahn, R Nallapati, B Zhou, Y Bengio arXiv preprint arXiv:1603.08148, 2016	434	2016
Discriminative models for information retrieval R Nallapati Proceedings of the 27th annual international ACM SIGIR conference on …, 2004	366	2004
Event threading within news topics R Nallapati, A Feng, F Peng, J Allan Proceedings of the thirteenth ACM international conference on Information …, 2004	308	2004
Conservation properties of unstructured staggered mesh schemes B Perot Journal of Computational Physics 159 (1), 58-89, 2000	291	2000
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	264	2007
Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. R Nallapati, WW Cohen Icwsm, 84-92, 2008	169	2008
Sequence-to-sequence rnns for text summarization R Nallapati, B Xiang, B Zhou	121	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	112	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	100	2002
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	97	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	84	2007
Multiscale topic tomography RM Nallapati, S Ditmore, JD Lafferty, K Ung Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	76	2007
UMass at TDT 2002 J Allan, V Lavrenko, R Nallapati Topic Detection and Tracking: Workshop, 2002	68	2002
Semantic language models for topic detection and tracking R Nallapati Proceedings of the HLT-NAACL 2003 student research workshop, 1-6, 2003	64	2003

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