World's Best Scientists 2026 revealed!

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Computer Science

D-Index
41
Citations
5908
World Ranking
8946
National Ranking
548

Overview

Verena Rieser is a researcher affiliated with Heriot-Watt University in the United Kingdom. Their research contributions are primarily situated within computer science, with a strong focus on artificial intelligence and its related subfields.

Rieser's work encompasses several specialized areas, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Safety Research
  • Social Psychology
  • Information Systems

The main topics addressed in Rieser's research output include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Adversarial Robustness in Machine Learning
  • Multimodal Machine Learning Applications
  • Speech and dialogue systems
  • AI in Service Interactions
  • Ethics and Social Impacts of AI

Rieser has published extensively in several venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Some recent papers authored or co-authored by Rieser include:

  • ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Detection in Conversational AI, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Sociotechnical Safety Evaluation of Generative AI Systems, 2023, arXiv (Cornell University)
  • SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • The Ethics of Advanced AI Assistants, 2024, arXiv (Cornell University)
  • Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges, 2022, arXiv (Cornell University)

Frequent co-authors who have collaborated with Rieser on multiple occasions include:

  • Gavin Abercrombie
  • Tanvi Dinkar
  • Ioannis Konstas
  • Laura Weidinger
  • Canfer Akbulut

Best Publications

  • BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

    Unknown

  • Why We Need New Evaluation Metrics for NLG

    Jekaterina Novikova;Ondrej Dusek;Amanda Cercas Curry;Verena Rieser

  • The E2E Dataset: New Challenges For End-to-End Generation

    Jekaterina Novikova;Ondřej Dušek;Verena Rieser

  • An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis

    Eshrag Refaee;Verena Rieser

  • Benchmarking Natural Language Understanding Services for Building Conversational Agents

    Xingkun Liu;Arash Eshghi;Pawel Swietojanski;Verena Rieser

  • Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge

    Ondřej Dušek;Ondřej Dušek;Jekaterina Novikova;Verena Rieser

  • Reinforcement Learning for Adaptive Dialogue Systems

    Verena Rieser;Oliver Lemon

  • Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems

    Verena Rieser;Oliver Lemon

  • SLURP: A Spoken Language Understanding Resource Package

    Emanuele Bastianelli;Andrea Vanzo;Pawel Swietojanski;Verena Rieser

  • Findings of the E2E NLG Challenge.

    Ondrej Dusek;Jekaterina Novikova;Verena Rieser

  • Twenty Years of Confusion in Human Evaluation : NLG Needs Evaluation Sheets and Standardised Definitions

    David M. Howcroft;Anya Belz;Miruna-Adriana Clinciu;Dimitra Gkatzia

  • Learning Effective Multimodal Dialogue Strategies from Wizard-of-Oz Data: Bootstrapping and Evaluation

    Verena Rieser;Oliver Lemon

  • RankME: Reliable Human Ratings for Natural Language Generation

    Jekaterina Novikova;Ondřej Dušek;Verena Rieser

  • Semantic Noise Matters for Neural Natural Language Generation

    Ondřej Dušek;David M. Howcroft;Verena Rieser

  • Agent-based modelling of land use dynamics and residential quality of life for future scenarios

    Dave Murray-Rust;Verena Rieser;Derek T. Robinson;Vesna Miličič

  • #MeToo Alexa: How Conversational Systems Respond to Sexual Harassment.

    Amanda Cercas Curry;Verena Rieser

  • Modelling the impacts of land system dynamics on human well-being: Using an agent-based approach to cope with data limitations in Koper, Slovenia

    Derek T. Robinson;David Murray-Rust;Verena Rieser;Vesna Milicic

  • Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity

    Xinnuo Xu;Ondřej Dušek;Ioannis Konstas;Verena Rieser

  • SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems

    Unknown

  • Implications for Generating Clarification Requests in Task-Oriented Dialogues

    Verena Rieser;Johanna Moore

  • Crowd-sourcing NLG Data: Pictures Elicit Better Data

    Jekaterina Novikova;Oliver Lemon;Verena Rieser

  • History for Visual Dialog: Do we really need it?

    Shubham Agarwal;Trung Bui;Joon-Young Lee;Ioannis Konstas

Frequent Co-Authors

Oliver Lemon
Oliver Lemon Heriot-Watt University
Alex Lascarides
Alex Lascarides University of Edinburgh
Nicholas Asher
Nicholas Asher Toulouse Institute of Computer Science Research
David Corne
David Corne Heriot-Watt University
Steve Young
Steve Young University of Cambridge
Peter Mika
Peter Mika Yahoo (United Kingdom)
Milica Gasic
Milica Gasic Heinrich Heine University Düsseldorf
Matthew R. Walter
Matthew R. Walter Toyota Technological Institute at Chicago
Joon-Young Lee
Joon-Young Lee Adobe Systems (United States)
Johanna D. Moore
Johanna D. Moore University of Edinburgh

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