Ramesh Maruthi Nallapati

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Bing XiangHead of AI Research, Goldman SachsPatvirtintas el. paštas gs.com
Bowen ZhouChair Professor, Department of Electrical Engineering, Tsinghua University; Founder of Frontis.aiPatvirtintas el. paštas tsinghua.edu.cn
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityPatvirtintas el. paštas stanford.edu
William W. CohenGoogle AIPatvirtintas el. paštas google.com
Andrew O. ArnoldChief Scientist, DelphiaPatvirtintas el. paštas delphia.com
Caglar GulcehreStaff Research Scientist at Deepmind and PhD from MILAPatvirtintas el. paštas google.com
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaPatvirtintas el. paštas email.arizona.edu
James AllanUniversity of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
Daniel RamageGoogle ResearchPatvirtintas el. paštas google.com
David HallStanfordPatvirtintas el. paštas stanford.edu
Amr AhmedSenior Staff Research Scientist, Google AIPatvirtintas el. paštas google.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPatvirtintas el. paštas cs.cmu.edu
Julie TibshiraniElasticsearch BVPatvirtintas el. paštas cs.stanford.edu
Fuchun PengResearch ManagerPatvirtintas el. paštas fb.com
Ao FengChengdu University of Information TechnologyPatvirtintas el. paštas cuit.edu.cn
Ram NevatiaPatvirtintas el. paštas usc.edu
Daniel McFarlandProfessor of Education, Stanford UniversityPatvirtintas el. paštas stanford.edu
Xiaolin ShiSnap Inc.Patvirtintas el. paštas snap.com
Jure LeskovecProfessor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityPatvirtintas el. paštas stanford.edu

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Ramesh Maruthi Nallapati

Principal Applied Scientist, Amazon AWS AI

Patvirtintas el. paštas amazon.com

Artificial Intelligence Deep Learning Natural Language Processing Question Answering Summarization


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Abstractive text summarization using sequence-to-sequence rnns and beyond R Nallapati, B Zhou, C Gulcehre, B Xiang arXiv preprint arXiv:1602.06023, 2016	2473	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	1833	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	1364	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	873	2012
Pointing the unknown words C Gulcehre, S Ahn, R Nallapati, B Zhou, Y Bengio arXiv preprint arXiv:1603.08148, 2016	649	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	552	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	512	2019
Discriminative models for information retrieval R Nallapati Proceedings of the 27th annual international ACM SIGIR conference on …, 2004	410	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	353	2007
Event threading within news topics R Nallapati, A Feng, F Peng, J Allan Proceedings of the thirteenth ACM international conference on Information …, 2004	347	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	257	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	178	2016
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	134	2021
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	132	2003
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	118	2020
Topic modeling with wasserstein autoencoders F Nan, R Ding, R Nallapati, B Xiang arXiv preprint arXiv:1907.12374, 2019	116	2019
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
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	101	2021
Domain adaptation with BERT-based domain classification and data selection X Ma, Z Wang, R Nallapati, B Xiang	99	2019

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