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Joakim Nivre

Joakim Nivre

Award Badge
Computer Science
Sweden
2026

D-Index & Metrics

Computer Science

D-Index
72
Citations
25130
World Ranking
1655
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in Sweden Leader Award
  • 2025 - Research.com Computer Science in Sweden Leader Award
  • 2023 - Research.com Computer Science in Sweden Leader Award
  • 2022 - Research.com Computer Science in Sweden Leader Award

Overview

Joakim Nivre is a researcher affiliated with Uppsala University in Sweden, specializing in computer science with a strong focus on artificial intelligence and natural language processing. Their body of work spans numerous publications primarily in the field of computational linguistics and machine learning.

The scientist's research interests cover various subfields including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Language and Linguistics
  • Information Systems
  • Statistics, Probability and Uncertainty

Core research topics addressed in their work include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Speech and Dialogue Systems
  • Speech Recognition and Synthesis
  • Software Engineering Research

Key recent papers authored by Joakim Nivre highlight contributions to syntactic and linguistic data resources:

  • "Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection" (2020), published in arXiv (Cornell University)
  • "Universal Dependencies" (2025), published in Elsevier eBooks
  • "Universal Dependencies" (2025), published in HAL (Le Centre pour la Communication Scientifique Directe)

Nivre has also collaborated frequently with several researchers including:

  • Filip Ginter
  • Jan Hajič
  • Christopher D. Manning
  • Evangelia Gogoulou
  • Marie-Catherine de Marneffe

Joakim Nivre's publications are frequently found in trusted venues such as:

  • arXiv (Cornell University)
  • Computational Linguistics
  • Zurich Open Repository and Archive (University of Zurich)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Elsevier eBooks

Best Publications

  • Universal Dependencies v1: A Multilingual Treebank Collection

    Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Yoav Goldberg

  • MaltParser: A language-independent system for data-driven dependency parsing

    Joakim Nivre;Johan Hall;Jens Nilsson;Atanas Chanev

  • An efficient algorithm for projective dependency parsing

    Joakim Nivre

  • The CoNLL 2007 Shared Task on Dependency Parsing

    Joakim Nivre;Johan Hall;Sandra K"ubler;Ryan McDonald

  • CoNLL 2018 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies

    Daniel Zeman;Jan Hajič;Martin Popel;Martin Potthast

  • MaltParser: A Data-Driven Parser-Generator for Dependency Parsing

    Joakim Nivre;Johan Hall;Jens Nilsson

  • Dependency Parsing

    Sandra Kubler;Ryan McDonald;Joakim Nivre;Graeme Hirst

  • Universal Dependency Annotation for Multilingual Parsing

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

  • Universal Stanford dependencies: A cross-linguistic typology

    Marie-Catherine de Marneffe;Timothy Dozat;Natalia Silveira;Katri Haverinen

  • The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages

    Jan Hajiċ;Massimiliano Ciaramita;Richard Johansson;Daisuke Kawahara

  • Universal Dependencies 2.2

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies

    Mihai Surdeanu;Richard Johansson;Adam Meyers;Lluís Màrquez

  • On the Semantics and Pragmatics of Linguistic Feedback

    Jens Allwood;Joakim Nivre;Elisabeth Ahlsén

  • Algorithms for deterministic incremental dependency parsing

    Joakim Nivre

  • CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

    Daniel Zeman;Martin Popel;Milan Straka;Jan Hajic

  • Transition-based Dependency Parsing with Rich Non-local Features

    Yue Zhang;Joakim Nivre

  • Pseudo-Projective Dependency Parsing

    Joakim Nivre;Jens Nilsson

  • Incrementality in deterministic dependency parsing

    Joakim Nivre

  • Characterizing the Errors of Data-Driven Dependency Parsers

    Ryan McDonald;Joakim Nivre

  • Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection

    Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Jan Hajic

  • Inductive Dependency Parsing

    Joakim Nivre

  • Universal Dependencies 2.7

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

Frequent Co-Authors

Filip Ginter
Filip Ginter University of Turku
Jan Hajič
Jan Hajič Charles University
Slav Petrov
Slav Petrov Google (United States)
Marie-Catherine de Marneffe
Marie-Catherine de Marneffe The Ohio State University
Sampo Pyysalo
Sampo Pyysalo University of Turku
Jörg Tiedemann
Jörg Tiedemann University of Helsinki
Barbara Plank
Barbara Plank Ludwig-Maximilians-Universität München
Samuel R. Bowman
Samuel R. Bowman New York University

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