| Automatic summarization A Nenkova, K McKeown Foundations and Trends in Information Retrieval 5 (2-3), 103-233, 2011 | 872 | 2011 |
| Evaluating content selection in summarization: The pyramid method A Nenkova, RJ Passonneau Proceedings of the human language technology conference of the north …, 2004 | 808 | 2004 |
| A survey of text summarization techniques A Nenkova, K McKeown Mining text data, 43-76, 2012 | 802 | 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 | 782 | 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 | 610 | 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 | 414 | 2007 |
| The impact of frequency on summarization A Nenkova, L Vanderwende Microsoft Research, Redmond, Washington, Tech. Rep. MSR-TR-2005 101, 2005 | 412 | 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 | 387 | 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 | 340 | 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 | 235 | 2013 |
| Easily identifiable discourse relations E Pitler, M Raghupathy, H Mehta, A Nenkova, A Lee, AK Joshi COLING (Posters) 2008: 87-90, 2008 | 230 | 2008 |
| Automatic text summarization of newswire: Lessons learned from the document understanding conference A Nenkova | 205 | 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 | 194 | 2014 |
Kathleen McKeownProfessor of Computer Science and Director, Data Science Institute, Columbia University在 cs.columbia.edu 的電子郵件地址已通過驗證