Papers

• Ani Nenkova and Kathleen McKeown
  Automatic Summarization [pdf]
  Foundations and Trends in Information Retrieval, Vol 5, No 2-3, pp. 103-233.
  [A printed and bound version of this article is available at a special discount price of US$35 from Now Publishers. This can be obtained by entering the promotional code INR015015 on the order form at now publishers.]
• Annie Louis, Aravind Joshi and Ani Nenkova
  Discourse indicators for content selection in summarization
  Proceedings of SIGDIAL 2010. [Best student paper]
• Annie Louis, Aravind Joshi, Rashmi Prasad and Ani Nenkova
  Using entity features to classify implicit discourse relations
  Proceedings of SIGDIAL 2010.
• Emily Pitler, Annie Louis and Ani Nenkova
  Automatic Evaluation of Linguistic Quality in Multi-Document Summarization
  Proceedings of ACL 2010.
  
• Dmitri Bitouk, Ragini Verma and Ani Nenkova
  Class-level spectral features for emotion recognition
  Speech Communication, Volume 52, Issues 7-8, July-August 2010, Pages 613-625.
• Ani Nenkova, Jieun Chae, Annie Louis and Emily Pitler
  Structural Features for Predicting the Linguistic Quality of Text: Applications to Machine Translation, Automatic Summarization and Human-Authored Text
  In Emiel Krahmer and Mariet Theune, editors, Empirical Methods in Natural Language Generation: Data-oriented Methods and Empirical Evaluation, 2010.
• Annie Louis and Ani Nenkova
  Creating Local Coherence: An Empirical Assessment
  NAACL-HLT 2010, short paper, Los Angeles, US.
• Annie Louis and Ani Nenkova
  Automatically Evaluating Content Selection in Summarization without Human Models
  EMNLP'09, Suntec, Singapore.
• Emily Pitler, Annie Louis and Ani Nenkova
  Automatic sense prediction for implicit discourse relations in text
  ACL-IJCNLP 2009, Suntec, Singapore.
• Emily Pitler and Ani Nenkova
  Using Syntax to Disambiguate Explicit Discourse Connectives in Text
  ACL-IJCNLP 2009, short paper, Suntec, Singapore.
• Dmitri Bitouk, Ani Nenkova Ragini Verma
  Improving Emotion Recognition using Class-Level Spectral Features
  INTERSPEECH 2009, Brighton, UK.
• Annie Louis and Ani Nenkova
  Performance Confidence Estimation for Automatic Summarization
  Proceedings of EACL 2009.
• Jieun Chae and Ani Nenkova
  Predicting the Fluency of Text with Shallow Structural Features: Case Studies of Machine Translation and Human-Written Text
  Proceedings of EACL 2009.
• Emily Pitler and Ani Nenkova
  Revisiting Readability: A Unified Framework for Predicting Text Quality
  Proceedings of EMNLP, 2008.
• Emily Pitler, Mridhula Raghupathy, Hena Mehta, Ani Nenkova, Alan Lee, Aravind Joshi
  Easily Identifiable Discourse Relations
  Proceedings of COLING, 2008. Poster paper.
  
• Ani Nenkova, Agustin Gravano, Julia Hirschberg
  High frequency word entrainment in spoken dialogue
  Proceedings of ACL/HLT 2008 (short paper), pages 169-172. Columbus, OH, June 2008.
• Ani Nenkova and Annie Louis
  Can you summarize this? Identifying correlates of input difficulty for generic multi-document summarization
  Proceedings of Association for Computational Linguistics(ACL-08): HLT, Columbus, Ohio, USA, June 15-20, 2008.
• Vivek Kumar Rangarajan Sridhar, Ani Nenkova, Shrikanth Narayanan, Dan Jurafsky
  Detecting prominence in conversational speech: pitch accent, givenness and focus
  4th Conference on Speech Prosody 2008, Campinas, Brazil.
• Ani Nenkova
  Entity-driven Rewrite for Multi-document Summarization
  The Third International Joint Conference on Natural Language Processing (IJCNLP08), Hyderabad, India.
• Ani Nenkova and Dan Jurafsky
  Automatic Detection of Contrastive Elements in Spontaneous Speech
  IEEE workshop on Automatic Speech Recognition and Understanding (ASRU) 2007, Kyoto, Japan.
• Volker Strom, Ani Nenkova, Robert Clark, Yolanda Vazquez-Alvarez, Jason Brenier, Simon King, Dan Jurafsky
  Modelling Prominence and Emphasis Improves Unit-Selection Synthesis
  Intrespeech 2007.
• Surabhi Gupta, Ani Nenkova and Dan Jurafsky
  Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization
  ACL 2007, companion volume.
• Ani Nenkova, Jason Brenier, Anubha Kothari, Sasha Calhoun, Laura Whitton, David Beaver, Dan Jurafsky
  To Memorize or to Predict: Prominence Labeling in Conversational Speech
  NAACL-HLT 2007.
• Ani Nenkova, Rebecca Passonneau, Kathleen McKeown
  The pyramid method: incorporating human content selection variation in summarization evaluation
  ACM Transactions on Speech and Language Processing, volume 4, issue 2, 2007.
• Lucy Vanderwende, Hisami Suzuki, Chris Brockett, Ani Nenkova
  Beyond SumBasic: Task-Focused Summarization with Sentence Simplification and Lexical Expansion
  Information Processing and Management, Special issue on summarization volume 43, issue 6, 2007.
• Jason Brenier, Ani Nenkova, Anubha Kothari, Laura Whitton, David Beaver, Dan Jurafsky
  The (Non)Utility of Linguistic Features for Predicting Prominence in Spontaneous Speech
  IEEE/ACL 2006 Workshop on Spoken Language Technology, 2006.
• Ani Nenkova
  Summarization Evaluation for Text and Speech: Issues and Approaches
  INTERSPEECH 2006.
• Ani Nenkova, Lucy Vanderwende, Kathleen McKeown
  A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization
  SIGIR 2006.
• Ani Nenkova
  Understanding the process of multi-document summarization: content selection, rewrite and evaluation
  PhD Thesis, Columbia University, January 2006.
• Ani Nenkova, Advaith Siddharthan and Kathleen McKeown
  Automatically learning cognitive status for multi-document summarization of newswire
  HLT/EMNLP 2005, Vancouver, B.C., Canada.
• Ani Nenkova
  Automatic Text Summarization of Newswire: Lessons Learned from the Document Understanding Conference
  20th National Conference on Artificial Intelligence (AAAI 2005), Pittsburgh, USA.
• Ani Nenkova
  Discourse Factors in Multi-Document Summarization
  10th Annual AAAI/SIGART Doctoral Consortium at AAAI'05, Pittsburgh, USA.
• Kathleen McKeown, Rebecca Passonneau, David Elson, Ani Nenkova, Julia Hirschberg
  Do Summaries Help? A Task-Based Evaluation of Multi-Document Summarization
  28th Annual International ACM SIGIR Conference on Research and Development in Information Retreival (SIGIR 2005), Salvador, Brazil.
• Aaron Harnly, Ani Nenkova, Rebecca Passonneau, Owen Rambow
  Automation of summary evaluation by the pyramid method
  RANLP-2005, Borovets, Bulgaraia.
• Advaith Siddharthan, Ani Nenkova and Kathleen McKeown
  Syntactic Simplification for Improving Content Selection in Multi-Document Summarization
  20th International Conference on Computational Linguistics (COLING 2004), Geneva, Switzerland.
• Julia Hirschberg, Agustin Gravano, Ani Nenkova, Elisa Sneed, Gregory Ward
  Intonational overload: uses of the H* !H* L- L% contour in read and spontaneous speech
  Labphon-9, Champagne-Urbana.
• Ani Nenkova and Rebecca Passonneau
  Evaluating Content Selection in Summarization: the Pyramid Method
  NAACL-HLT 2004.
• Rebecca J. Passonneau and Ani Nenkova
  Evaluating Content Selection in Human- or Machine-Generated Summaries: The Pyramid Scoring Method
  Columbia University, CS Department Technical Report, CUCS-025-03.
• Ani Nenkova and Kathleen McKeown
  References to Named Entities: a Corpus Study
  In Short Paper Proceedings of NAACL-HLT 2003.
• Kathleen McKeown, Regina Barzilay, John Chen, David Elson, David Evans, Judith Klavans, Ani Nenkova, Barry Schiffman and Sergey Sigelman
  Columbia's Newsblaster: New Features and Future Directions
  Demo at NAACL-HLT 2003.
• Ani Nenkova, Barry Schiffman, Andrew Schlaiker, Sasha Blair-Goldensohn, Regina Barzilay, Sergey Sigelman, Vasileios Hatzivassiloglou and Kathleen McKeown
  Columbia at the Document Understanding Conference 2003
  Document Understanding Conference 2003.
• Ani Nenkova and Kathleen McKeown
  Improving the Coherence of Multi-document Summaries: a Corpus Study for Modeling the Syntactic Realization of Entities
  Columbia University, CS Department Technical Report, CUCS-001-03.
• Ani Nenkova and Amit Bagga
  Facilitating Email Thread Access by Extractive Summary Generation
  RANLP 2003, Bulgaria.
• Ani Nenkova and Amit Bagga
  Email Classification for Contact Centers
  18th ACM Symposium on Applied Computing SAC 2003, Melbourne, Florida, 2003.
• Barry Schiffman, Ani Nenkova and Kathleen McKeown
  Experiments in Multidocument Summarization
  in Proceedings of HLT 2002 Human Language Technology Conference, San Diego, CA, 2002.
• Kathleen R. McKeown, Regina Barzilay, David Evans, Vasileios Hatzivassiloglou, Judith L. Klavans, Ani Nenkova, Carl Sable, Barry Schiffman and Sergey Sigelman
  Tracking and Summarizing News on a Daily Basis with Columbia's Newsblaster
  in Proceedings of HLT 2002 Human Language Technology Conference, San Diego, CA, 2002.
• McKeown, Kathleen, Regina Barzilay, Sasha Blaire-Goldensohn, David Evans, Vasileios Hatzivassiloglou, Judith L. Klavans, Ani Nenkova, Barry Schiffman and Sergey Sigelman
  The Columbia Multi-Document Summarizer for Document Understanding Conference
  DUC 2002.
• Ani Nenkova
  A tableau method for graded intersection of modalities: a case for concept languages
  Journal of Logic, Language and Information, Vol.11, Issue 1, 2002, pp. 67-77.
• Ani Nenkova
  Tableau Methods for Concept Languages
  MS thesis (in Bulgarian), advisor Tinko Tinchev, June 2000.
• Svetla Boytcheva, Ognian Kalaydjiev, Ani Nenkova and Galia Angelova
  Integrating Resources and Components in a Knowledge-Based Environment for Terminology Learning
  In Proc. of the 9th Intern. Conference "Artificial Intelligence: Methodology, Systems, Applications" (AIMSA-00), Varna, Bulgaria, September 2000, Lecture Notes in AI 1904, Springer, pp. 210-220, 2000.
• Angelova, G., A. Nenkova, S. Boytcheva and T. Nikolov
  Conceptual graphs as a knowledge representation core in a complex language learning environment
  Proc. ICCS-2000, Darmstadt, Germany, August 2000, Shaker Verlag, pp. 45-58, 2000.
• Ani Nenkova and Galia Angelova
  User Modeling as an Application of Actors
  In proc. of 7th International Conference on Conceptual Structures (ICCS'99), Virginia Tech, USA, July 1999, LNAI, pp.83-89.