World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
13540
World Ranking
4513
National Ranking
2114

Overview

Ani Nenkova is affiliated with Adobe Systems in the United States. Their research spans a range of topics primarily focused on Artificial Intelligence and related fields. The subfields of study in which they have contributed include Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Management Science and Operations Research, and Statistics, Probability and Uncertainty.

Their work often intersects with multiple areas of advanced data processing and analysis, especially in Natural Language Processing (NLP) and biomedical applications. Key topics addressed in their research include Topic Modeling, Natural Language Processing Techniques, Biomedical Text Mining and Ontologies, Data Quality and Management, Advanced Text Analysis Techniques, Meta-analysis and systematic reviews, and Handwritten Text Recognition Techniques.

Recent publications by Ani Nenkova reflect a focus on medical informatics, language processing, and named entity recognition. Among these are:

  • Trialstreamer: A living, automatically updated database of clinical trial reports (2020), published in the Journal of the American Medical Informatics Association
  • Temporal Effects on Pre-trained Models for Language Processing Tasks (2022), featured in Transactions of the Association for Computational Linguistics
  • Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time (2020), available on PubMed
  • Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models (2020), published on arXiv (Cornell University)
  • State of the evidence: a survey of global disparities in clinical trials (2021), published in BMJ Global Health

Nenkova frequently collaborates with several researchers, including Iain Marshall, Byron Wallace, Benjamin Nye, Frank Soboczenski, and James Thomas. These coauthors have worked with Nenkova on numerous projects across various studies.

The scientist's research has been disseminated through multiple venues. Most of their publications appear in Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), OPAL (Open@LaTrobe) (La Trobe University), PubMed, and bioRxiv (Cold Spring Harbor Laboratory).

Best Publications

  • Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

    Kevin Knight;Ani Nenkova;Owen Rambow

  • CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset

    Houwei Cao;David G. Cooper;Michael K. Keutmann;Ruben C. Gur

  • A SURVEY OF TEXT SUMMARIZATION TECHNIQUES

    Ani Nenkova;Kathleen R. McKeown

  • Automatic Summarization

    Ani Nenkova;Sameer Maskey;Yang Liu

  • Evaluating Content Selection in Summarization: The Pyramid Method

    Ani Nenkova;Rebecca J. Passonneau

  • Revisiting Readability: A Unified Framework for Predicting Text Quality

    Emily Pitler;Ani Nenkova

  • Beyond SumBasic: Task-focused summarization with sentence simplification and lexical expansion

    Lucy Vanderwende;Hisami Suzuki;Chris Brockett;Ani Nenkova

  • Tracking and summarizing news on a daily basis with Columbia's Newsblaster

    Kathleen R. McKeown;Regina Barzilay;David Evans;Vasileios Hatzivassiloglou

  • The Pyramid Method: Incorporating human content selection variation in summarization evaluation

    Ani Nenkova;Rebecca Passonneau;Kathleen McKeown

  • Automatic sense prediction for implicit discourse relations in text

    Emily Pitler;Annie Louis;Ani Nenkova

  • The Impact of Frequency on Summarization

    A. Nenkova;L. Vanderwende;Lucy Vanderwende

  • Using Syntax to Disambiguate Explicit Discourse Connectives in Text

    Emily Pitler;Ani Nenkova

  • Class-level spectral features for emotion recognition

    Dmitri Bitouk;Ragini Verma;Ani Nenkova

  • A compositional context sensitive multi-document summarizer: exploring the factors that influence summarization

    Ani Nenkova;Lucy Vanderwende;Kathleen McKeown

  • A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature.

    Benjamin E. Nye;Junyi Jessy Li;Roma Patel;Yinfei Yang

  • High Frequency Word Entrainment in Spoken Dialogue

    Ani Nenkova;Agust'in Gravano;Julia Hirschberg

  • Automatically assessing machine summary content without a gold standard

    Annie Louis;Ani Nenkova

  • Easily Identifiable Discourse Relations

    Emily Pitler;Mridhula Raghupathy;Hena Mehta;Ani Nenkova

  • Automatic text summarization of newswire: lessons learned from the document understanding conference

    Ani Nenkova

  • Improving the Estimation of Word Importance for News Multi-Document Summarization

    Kai Hong;Ani Nenkova

Frequent Co-Authors

Kathleen R. McKeown
Kathleen R. McKeown Columbia University
Byron C. Wallace
Byron C. Wallace Northeastern University
Dan Jurafsky
Dan Jurafsky Stanford University
Rebecca J. Passonneau
Rebecca J. Passonneau Pennsylvania State University
Julia Hirschberg
Julia Hirschberg Columbia University
Vasileios Hatzivassiloglou
Vasileios Hatzivassiloglou Columbia University
Judith L. Klavans
Judith L. Klavans University of Maryland, College Park
Lucy Vanderwende
Lucy Vanderwende University of Washington
Ruben C. Gur
Ruben C. Gur University of Pennsylvania

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education can open diverse career opportunities in tech and beyond. Many students who study Computer Science in the USA go on to pursue further specializations through online master's programs, which offer maximum flexibility and accessibility.

For those interested in data-driven roles, several top data science programs provide a solid foundation in analytics, machine learning, and big data. If you’re attracted to project leadership, you might consider schools recognized as best construction management schools for their focus on industry-relevant skills and accredited courses.

Financial considerations are also crucial; you can find some of the cheapest mba online programs, granting access to advanced business knowledge without the high costs associated with traditional on-campus study. Furthermore, those seeking fast-track advancement often look into 1 year master's programs online, enabling students to earn qualifications quickly and efficiently.

With so many online options, choosing a degree path that matches your interests and career ambitions is easier than ever.

Best Scientists Citing Ani Nenkova

Trending Scientists

Recently Published Articles