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Ani Nenkova

Member

1. Personal & Academic Summary



Ani Nenkova is a computational linguist and AI researcher specializing in natural language processing (NLP), automatic summarization, text quality and style analysis, discourse modeling, and emotion/affect recognition in language. She is a leading figure in NLP research with over 150 publications and significant contributions to both academic and industrial research. 


2. Education


  • Ph.D., Computer Science — Columbia University (Thesis: Understanding the process of multi-document summarization: content selection, rewrite and evaluation, 2006).

  • M.S., Mathematical Logic and Applications — Sofia University, Bulgaria (MS thesis: Tableau Methods for Concept Languages, 2000).

    (Advisors: Ph.D. advisor Kathleen McKeown; postdoctoral advisor Dan Jurafsky at Stanford.) 



3. Professional Experience


  • Principal Scientist, Adobe Research — leads language technology research, document intelligence, and NLP projects (on leave from academic post). 

  • Associate Professor of Computer and Information Science, University of Pennsylvania (on leave). 

  • Editorial roles: Co-Editor-in-Chief, Transactions of the Association for Computational Linguistics (TACL); served on editorial boards of Computational Linguistics and IEEE/ACM Transactions on Audio, Speech and Language Processing. 

  • Program leadership: area chair and committee roles for ACL, NAACL, and AAAI major conferences. 



4. Research Interests



Ani’s research spans key areas of NLP and AI:

  • Automatic summarization (single and multi-document). 

  • Text quality and style analysis, including sentence specificity prediction models. 

  • Emotion and affect recognition in text and speech. 

  • Discourse modeling and coherence analysis. 

  • Development of evaluation tools and metrics for language processing systems. 



5. Honors & Recognition



Ani’s work is highly cited and influential in computational linguistics communities. She has served as editor, program co-chair, and senior committee member for several top NLP venues, reflecting her leadership in the field. 


6. Selected Publications



Examples of her influential work (among many others):

  • Automatic summarization and evaluation methods. 

  • Fast and accurate prediction of sentence specificity (AAAI). 

  • Combining lexical and syntactic features for detecting information-dense text.