Ani Nenkova

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Kathleen McKeownProfessor of Computer Science and Director, Data Science Institute, Columbia UniversityDirección de correo verificada de cs.columbia.edu
Annie LouisGoogle Deepmind, LondonDirección de correo verificada de google.com
Ragini VermaDepartment of Radiology, University of PennsylvaniaDirección de correo verificada de uphs.upenn.edu
Byron WallaceAssociate Professor, Northeastern UniversityDirección de correo verificada de ccs.neu.edu
Rebecca J. PassonneauDepartment of Computer Science and Engineering, Penn StateDirección de correo verificada de cse.psu.edu
Houwei CaoAssistant Professor of Computer Science, New York Institute of TechnologyDirección de correo verificada de nyit.edu
Emily PitlerGoogleDirección de correo verificada de google.com
Junyi Jessy LiAssociate Professor, The University of Texas at AustinDirección de correo verificada de austin.utexas.edu
Regina BarzilayProfessor of EECS, MITDirección de correo verificada de csail.mit.edu
Jiuxiang GuAdobe ResearchDirección de correo verificada de adobe.com
Oshin AgarwalBloomberg LPDirección de correo verificada de bloomberg.net
Vlad MorariuSenior Research Scientist, Adobe ResearchDirección de correo verificada de adobe.com
Julia HirschbergColumbia UniversityDirección de correo verificada de cs.columbia.edu
Yinfei YangAppleDirección de correo verificada de apple.com
Tong SunDirector of Document Intelligence Lab, AdobeDirección de correo verificada de adobe.com
Iain MarshallKing's College LondonDirección de correo verificada de kcl.ac.uk
Kai HongGoogleDirección de correo verificada de google.com
Benjamin E NyeColorado CollegeDirección de correo verificada de coloradocollege.edu
Advaith SiddharthanProfessor of Computer Science and Society, Knowledge Media Institute, The Open UniversityDirección de correo verificada de open.ac.uk
John M. ConroyIDA Center for Computing SciencesDirección de correo verificada de super.org

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Ani Nenkova

Principal Scientist at Adobe Research

Dirección de correo verificada de adobe.com

natural language processing summarization emotion recognition discourse


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Automatic summarization A Nenkova, K McKeown Foundations and Trends in Information Retrieval 5 (2-3), 103-233, 2011	877	2011
Evaluating content selection in summarization: The pyramid method A Nenkova, RJ Passonneau Proceedings of the human language technology conference of the north …, 2004	809	2004
A survey of text summarization techniques A Nenkova, K McKeown Mining text data, 43-76, 2012	803	2012
Crema-d: Crowd-sourced emotional multimodal actors dataset H Cao, DG Cooper, MK Keutmann, RC Gur, A Nenkova, R Verma IEEE transactions on affective computing 5 (4), 377-390, 2014	800	2014
Revisiting readability: A unified framework for predicting text quality E Pitler, A Nenkova Proceedings of the 2008 conference on empirical methods in natural language …, 2008	612	2008
Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion L Vanderwende, H Suzuki, C Brockett, A Nenkova Information Processing & Management 43 (6), 1606-1618, 2007	463	2007
The pyramid method: Incorporating human content selection variation in summarization evaluation A Nenkova, R Passonneau, K McKeown ACM Transactions on Speech and Language Processing (TSLP) 4 (2), 4-es, 2007	415	2007
The impact of frequency on summarization A Nenkova, L Vanderwende Microsoft Research, Redmond, Washington, Tech. Rep. MSR-TR-2005 101, 2005	414	2005
Tracking and summarizing news on a daily basis with Columbia’s Newsblaster KR McKeown, R Barzilay, D Evans, V Hatzivassiloglou, JL Klavans, ... Proceedings of the human language technology conference, 280-285, 2002	388	2002
Automatic sense prediction for implicit discourse relations in text E Pitler, A Louis, A Nenkova	386	2009
Using syntax to disambiguate explicit discourse connectives in text E Pitler, A Nenkova	342	2009
Class-level spectral features for emotion recognition D Bitouk, R Verma, A Nenkova Speech communication 52 (7-8), 613-625, 2010	288	2010
A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization A Nenkova, L Vanderwende, K McKeown Proceedings of the 29th annual international ACM SIGIR conference on …, 2006	285	2006
A corpus with multi-level annotations of patients, interventions and outcomes to support language processing for medical literature B Nye, JJ Li, R Patel, Y Yang, IJ Marshall, A Nenkova, BC Wallace Proceedings of the conference. Association for Computational Linguistics …, 2018	268	2018
High frequency word entrainment in spoken dialogue JB Hirschberg, A Nenkova, A Gravano	251	2008
Automatically assessing machine summary content without a gold standard A Louis, A Nenkova Computational Linguistics 39 (2), 267-300, 2013	236	2013
Easily identifiable discourse relations E Pitler, M Raghupathy, H Mehta, A Nenkova, A Lee, AK Joshi COLING (Posters) 2008: 87-90, 2008	232	2008
Automatic text summarization of newswire: Lessons learned from the document understanding conference A Nenkova	206	2005
Automatically evaluating content selection in summarization without human models A Louis, A Nenkova Proceedings of the 2009 conference on empirical methods in natural language …, 2009	201	2009
Improving the estimation of word importance for news multi-document summarization K Hong, A Nenkova Proceedings of the 14th Conference of the European Chapter of the …, 2014	195	2014

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