World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
13371
World Ranking
7777
National Ranking
132

Overview

Christof Monz is affiliated with the University of Amsterdam in the Netherlands and works primarily in the field of Computer Science. Their research focuses extensively on Artificial Intelligence, with significant contributions also in Computer Vision and Pattern Recognition, Computer Science Applications, Health Informatics, and Safety Research.

The scientist's body of work covers several core topics, including:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Text Readability and Simplification
  • Multimodal Machine Learning Applications
  • Speech and dialogue systems
  • Speech Recognition and Synthesis
  • Mobile Crowdsensing and Crowdsourcing

A substantial number of their publications appear on the preprint server arXiv (Cornell University), where they have contributed 33 papers. Other notable publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, Computer, ACM Transactions on Information Systems, and Data Archiving and Networked Services (DANS).

Their recent papers include:

  • A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence (2020, Computer)
  • Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • RefNet: A Reference-Aware Network for Background Based Conversation (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • Conversations with Search Engines: SERP-based Conversational Response Generation (2021, ACM Transactions on Information Systems)
  • TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation (2020, arXiv (Cornell University))

Collaborations have been established with several frequent co-authors, including Baohao Liao, Maarten de Rijke, David Stap, Pengjie Ren, and Shaomu Tan.

Best Publications

  • Findings of the 2014 Workshop on Statistical Machine Translation

    Ondrej Bojar;Christian Buck;Christian Federmann;Barry Haddow

  • Findings of the 2015 Workshop on Statistical Machine Translation

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Barry Haddow

  • Findings of the 2012 Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Matt Post

  • Findings of the 2009 Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Josh Schroeder

  • Findings of the 2018 Conference on Machine Translation (WMT18)

    Ondřej Bojar;Christian Federmann;Mark Fishel;Yvette Graham

  • Findings of the 2017 Conference on Machine Translation (WMT17)

    Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

  • Findings of the 2016 Conference on Machine Translation

    Ondˇrej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

  • Data Augmentation for Low-Resource Neural Machine Translation

    Marzieh Fadaee;Arianna Bisazza;Christof Monz

  • Findings of the 2019 Conference on Machine Translation (WMT19)

    Loïc Barrault;Ondřej Bojar;Marta R. Costa-jussà;Christian Federmann

  • Findings of the 2013 Workshop on Statistical Machine Translation

    Ondřej Bojar;Christian Buck;Chris Callison-Burch;Christian Federmann

  • Findings of the 2011 Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Omar Zaidan

  • (Meta-) Evaluation of Machine Translation

    Chris Callison-Burch;Cameron Fordyce;Philipp Koehn;Christof Monz

  • Manual and Automatic Evaluation of Machine Translation between European Languages

    Philipp Koehn;Christof Monz

  • A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

    Zeynep Akata;Dan Balliet;Maarten de Rijke;Frank Dignum

  • Further Meta-Evaluation of Machine Translation

    Chris Callison-Burch;Cameron Fordyce;Philipp Koehn;Christof Monz

  • Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Kay Peterson

  • Document understanding for a broad class of documents

    Marco Aiello;Christof Monz;Leon Todoran;Marcel Worring

  • Findings of the 2020 Conference on Machine Translation (WMT20)

    Loïc Barrault;Magdalena Biesialska;Ondrej Bojar;Marta R. Costa-jussà

  • The Importance of Being Recurrent for Modeling Hierarchical Structure

    Ke M. Tran;Arianna Bisazza;Christof Monz

  • Dynamic Data Selection for Neural Machine Translation

    Marlies van der Wees;Arianna Bisazza;Christof Monz

  • Proceedings of the Sixth Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Omar F. Zaidan

Frequent Co-Authors

Philipp Koehn
Philipp Koehn Johns Hopkins University
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Chris Callison-Burch
Chris Callison-Burch University of Pennsylvania
Barry Haddow
Barry Haddow University of Edinburgh
Lucia Specia
Lucia Specia Imperial College London
Bonnie J. Dorr
Bonnie J. Dorr University of Florida
Jaap Kamps
Jaap Kamps University of Amsterdam
Marco Turchi
Marco Turchi Fondazione Bruno Kessler
Marcel Worring
Marcel Worring University of Amsterdam
Marco Aiello
Marco Aiello University of Stuttgart

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