World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
13093
World Ranking
8174
National Ranking
3503

Overview

Dipanjan Das is affiliated with Google in the United States. Their research spans primarily the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology, and Signal Processing.

The scientist's publication record includes papers on diverse topics such as Topic Modeling, Natural Language Processing Techniques, Blockchain Technology Applications and Security, Text Readability and Simplification, Multimodal Machine Learning Applications, Security and Verification in Computing, and Advanced Malware Detection Techniques.

Recent publications by Dipanjan Das include the following:

  • Understanding Security Issues in the NFT Ecosystem, 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Frequent co-authors collaborating with Dipanjan Das are Priyanka Bose, Christopher Kruegel, Giovanni Vigna, Mirella Lapata, and Joshua Maynez.

The scientist has contributed to a significant number of publications in several venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • Transactions of the Association for Computational Linguistics
  • Computational Linguistics
  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal of Research in Agronomy

Dipanjan Das's research involves multiple specialized topics reflected across these venues and coauthorships, highlighting a multidisciplinary approach within the overarching domain of Computer Science.

Best Publications

  • A Decomposable Attention Model for Natural Language Inference

    Ankur P. Parikh;Oscar Tackstrom;Dipanjan Das;Jakob Uszkoreit

  • BERT Rediscovers the Classical NLP Pipeline

    Ian Tenney;Dipanjan Das;Ellie Pavlick

  • Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments

    Kevin Gimpel;Nathan Schneider;Brendan O'Connor;Dipanjan Das

  • A Universal Part-of-Speech Tagset

    Slav Petrov;Dipanjan Das;Ryan McDonald

  • BLEURT: Learning Robust Metrics for Text Generation

    Thibault Sellam;Dipanjan Das;Ankur P. Parikh

  • Universal Dependency Annotation for Multilingual Parsing

    Ryan McDonald;Joakim Nivre;Yvonne Quirmbach-Brundage;Yoav Goldberg

  • What do you learn from context? Probing for sentence structure in contextualized word representations

    Ian Tenney;Patrick Xia;Berlin Chen;Alex Wang

  • Frame-semantic parsing

    Dipanjan Das;Desai Chen;André F. T. Martins;Nathan Schneider

  • Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections

    Dipanjan Das;Slav Petrov

  • Movie Reviews and Revenues: An Experiment in Text Regression

    Mahesh Joshi;Dipanjan Das;Kevin Gimpel;Noah A. Smith

  • Paraphrase Identification as Probabilistic Quasi-Synchronous Recognition

    Dipanjan Das;Noah A. Smith

  • Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics

    Kevin Gimpel;Nathan Schneider;Brendan O'Connor;Dipanjan Das

  • ToTTo: A Controlled Table-To-Text Generation Dataset

    Ankur P. Parikh;Xuezhi Wang;Sebastian Gehrmann;Manaal Faruqui

  • Probabilistic Frame-Semantic Parsing

    Dipanjan Das;Nathan Schneider;Desai Chen;Noah A. Smith

  • Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging

    Oscar Täckström;Oscar Täckström;Dipanjan Das;Slav Petrov;Ryan T. McDonald

  • Learning Recurrent Span Representations for Extractive Question Answering

    Kenton Lee;Shimi Salant;Tom Kwiatkowski;Ankur Parikh

  • Transforming Dependency Structures to Logical Forms for Semantic Parsing

    Siva Reddy;Oscar Täckström;Michael Collins;Tom Kwiatkowski

  • Syntactic Data Augmentation Increases Robustness to Inference Heuristics

    Junghyun Min;R. Thomas McCoy;Dipanjan Das;Emily Pitler

  • Semantic Role Labeling with Neural Network Factors

    Nicholas FitzGerald;Oscar Täckström;Kuzman Ganchev;Dipanjan Das

  • Language Models are Multilingual Chain-of-Thought Reasoners

    Unknown

  • The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

    Sebastian Gehrmann;Tosin Adewumi;Karmanya Aggarwal;Pawan Sasanka Ammanamanchi

Frequent Co-Authors

Noah A. Smith
Noah A. Smith University of Washington
Slav Petrov
Slav Petrov Google (United States)
André F. T. Martins
André F. T. Martins Instituto Superior Técnico
Diyi Yang
Diyi Yang Stanford University
Kevin Gimpel
Kevin Gimpel Toyota Technological Institute at Chicago
Joakim Nivre
Joakim Nivre Uppsala University
Alexander I. Rudnicky
Alexander I. Rudnicky Carnegie Mellon University
Michael Collins
Michael Collins Google (United States)

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