Valentin I. Spitkovsky

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Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityDirección de correo verificada de stanford.edu
Angel ChangSimon Fraser UniversityDirección de correo verificada de cs.stanford.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityDirección de correo verificada de stanford.edu
Noam ShazeerCharacter.aiDirección de correo verificada de character.ai
David McCloskyQuantAQ Inc.Dirección de correo verificada de cs.stanford.edu
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaDirección de correo verificada de email.arizona.edu
Eneko Agirre (ORCID 0000-0002-019...Full Professor, Director of HiTZ center, member of Ixa, University of the Basque Country (UPV/EHU)Dirección de correo verificada de ehu.eus
Julie TibshiraniElasticsearch BVDirección de correo verificada de cs.stanford.edu
Eric YehSRI InternationalDirección de correo verificada de sri.com
Sonal GuptaResearcher at GoogleDirección de correo verificada de google.com
Serafim BatzoglouSeerDirección de correo verificada de seer.bio
Lior PachterBren Professor of Computational Biology, CaltechDirección de correo verificada de caltech.edu
Bonnie BergerMITDirección de correo verificada de mit.edu
Wanxiang CheProfessor of Harbin Institute of TechnologyDirección de correo verificada de ir.hit.edu.cn
Liu TingHarbin Institute of TechnologyDirección de correo verificada de ir.hit.edu.cn
Rahul SimhaProfessor of Computer Science, The George Washington UniversityDirección de correo verificada de email.gwu.edu

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Valentin I. Spitkovsky

Stanford University and Google Inc.

Dirección de correo verificada de cs.stanford.edu - Página principal

Natural Language Processing Information Retrieval Artificial Intelligence Machine Learning Applied Statistics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A Cross-Lingual Dictionary for English Wikipedia Concepts. VI Spitkovsky, AX Chang LREC, 3168-3175, 2012	242	2012
Using concepts for ad targeting R Koningstein, V Spitkovsky, G Harik, N Shazeer US Patent App. 10/721,010, 2003	228	2003
Using concepts for ad targeting R Koningstein, V Spitkovsky, G Harik, N Shazeer US Patent App. 10/721,010, 2003	228	2003
From baby steps to Leapfrog: how Less is More in unsupervised dependency parsing VI Spitkovsky, H Alshawi, D Jurafsky Human Language Technologies: The 2010 Annual Conference of the North …, 2010	224	2010
Suggesting and/or providing targeting criteria for advertisements R Koningstein, V Spitkovsky, GR Harik, N Shazeer US Patent 8,392,249, 2013	188	2013
Mixing items, such as ad targeting keyword suggestions, from heterogeneous sources V Spitkovsky US Patent 7,801,899, 2010	114	2010
Viterbi training improves unsupervised dependency parsing VI Spitkovsky, H Alshawi, D Jurafsky, CD Manning Proceedings of the Fourteenth Conference on Computational Natural Language …, 2010	97	2010
Associating features with entities, such as categories of web page documents, and/or weighting such features R Koningstein, S Lawrence, V Spitkovsky US Patent App. 11/026,497, 2004	90	2004
A simple distant supervision approach for the TAC-KBP slot filling task M Surdeanu, D McClosky, J Tibshirani, J Bauer, AX Chang, VI Spitkovsky, ... Proceedings of Text Analysis Conference 2010 Workshop, 2010	84	2010
Unsupervised dependency parsing without gold part-of-speech tags VI Spitkovsky, H Alshawi, AX Chang, D Jurafsky Proceedings of the Conference on Empirical Methods in Natural Language …, 2011	78	2011
Punctuation: Making a point in unsupervised dependency parsing VI Spitkovsky, H Alshawi, D Jurafsky Proceedings of the Fifteenth Conference on Computational Natural Language …, 2011	74	2011
Baby Steps: How “Less is More” in unsupervised dependency parsing VI Spitkovsky, H Alshawi, D Jurafsky NIPS: Grammar Induction, Representation of Language and Language Learning, 1-10, 2009	63	2009
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction. VI Spitkovsky, H Alshawi, D Jurafsky EMNLP, 1983-1995, 2013	57	2013
Stanford’s distantly-supervised slot-filling system M Surdeanu, S Gupta, J Bauer, D McClosky, AX Chang, VI Spitkovsky, ... Proceedings of the Text Analytics Conference, 2011	51	2011
Profiting from mark-up: Hyper-text annotations for guided parsing VI Spitkovsky, D Jurafsky, H Alshawi Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010	46	2010
Lateen EM: Unsupervised training with multiple objectives, applied to dependency grammar induction VI Spitkovsky, H Alshawi, D Jurafsky Proceedings of the Conference on Empirical Methods in Natural Language …, 2011	36	2011
A dictionary-based approach for gene annotation L Pachter, S Batzoglou, VI Spitkovsky, E Banks, ES Lander, DJ Kleitman, ... Journal of Computational Biology 6 (3-4), 419-430, 1999	31	1999
Three dependency-and-boundary models for grammar induction VI Spitkovsky, H Alshawi, D Jurafsky Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012	30	2012
Stanford-ubc at tac-kbp E Agirre, AX Chang, DS Jurafsky, CD Manning, VI Spitkovsky, E Yeh Proceedings of Test Analysis Conference 2009 (TAC 09), 2009	28	2009
A comparison of chinese parsers for stanford dependencies W Che, VI Spitkovsky, T Liu Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012	27	2012

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