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Computer Science

D-Index
46
Citations
8782
World Ranking
6842
National Ranking
327

Overview

Michael Strube is affiliated with the Heidelberg Institute for Theoretical Studies in Germany. Their research primarily spans the fields of Computer Science and Psychology, with a significant focus on subfields such as Artificial Intelligence, Applied Psychology, Experimental and Cognitive Psychology, Clinical Psychology, and Computer Vision and Pattern Recognition.

Their work covers a variety of topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Mental Health Research Topics
  • Behavioral Health and Interventions
  • COVID-19 and Mental Health
  • Decision-Making and Behavioral Economics
  • Advanced Graph Neural Networks

Michael Strube has contributed to multiple publication venues, with substantive output in:

  • arXiv (Cornell University)
  • Emotion
  • Frontiers in Psychology
  • Reading in a Foreign Language
  • Neurorehabilitation and Neural Repair

Their recent papers include several collaborative works, among them:

  • Upper Limb Performance in Daily Life Approaches Plateau Around Three to Six Weeks Post-stroke (2021), published in Neurorehabilitation and Neural Repair
  • Improvement in the Capacity for Activity Versus Improvement in Performance of Activity in Daily Life During Outpatient Rehabilitation (2022), published in Journal of Neurologic Physical Therapy
  • Interpersonal Emotion Regulation: an Experience Sampling Study (2021), published in Affective Science
  • The Conundrum of Kappa and Why Some Musculoskeletal Tests Appear Unreliable Despite High Agreement: A Comparison of Cohen Kappa and Gwet AC to Assess Observer Agreement When Using Nominal and Ordinal Data (2021), published in Physical Therapy
  • Model Specification in Mixed-Effects Models (2023), published in Communications in Kinesiology

Frequent co-authors in their research collaborations include:

  • Joel Myerson
  • Leonard Green
  • Sandra Hale
  • Federico López
  • Steve Trettel

Best Publications

  • WikiRelate! computing semantic relatedness using wikipedia

    Michael Strube;Simone Paolo Ponzetto

  • Deriving a large scale taxonomy from Wikipedia

    Simone Paolo Ponzetto;Michael Strube

  • Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution

    Simone Paolo Ponzetto;Michael Strube

  • Functional centering: grounding referential coherence in information structure

    Michael Strube;Udo Hahn

  • Knowledge derived from wikipedia for computing semantic relatedness

    Simone Paolo Ponzetto;Michael Strube

  • Scoring Coreference Partitions of Predicted Mentions: A Reference Implementation

    Sameer Pradhan;Xiaoqiang Luo;Marta Recasens;Eduard Hovy

  • BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages

    Benjamin Heinzerling;Michael Strube

  • Decoding wikipedia categories for knowledge acquisition

    Vivi Nastase;Michael Strube

  • Fine-Grained Sentiment Analysis with Structural Features

    Cäcilia Zirn;Mathias Niepert;Heiner Stuckenschmidt;Michael Strube

  • Dialogue Acts, Synchronizing Units, and Anaphora Resolution

    Miriam Eckert;Michael Strube

  • Sentence Fusion via Dependency Graph Compression

    Katja Filippova;Michael Strube

  • Dependency tree based sentence compression

    Katja Filippova;Michael Strube

  • Taxonomy induction based on a collaboratively built knowledge repository

    Simone Paolo Ponzetto;Michael Strube

  • WikiNet: A Very Large Scale Multi-Lingual Concept Network

    Vivi Nastase;Michael Strube;Benjamin Boerschinger;Caecilia Zirn

  • Topical Coherence for Graph-based Extractive Summarization

    Daraksha Parveen;Hans-Martin Ramsl;Michael Strube

  • A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue

    Michael Strube;Christoph Müller

  • Which Coreference Evaluation Metric Do You Trust? A Proposal for a Link-based Entity Aware Metric

    Nafise Sadat Moosavi;Michael Strube

  • Adapting Deep Learning Methods for Mental Health Prediction on Social Media

    Ivan Sekulic;Michael Strube

  • Graph-based Local Coherence Modeling

    Camille Guinaudeau;Michael Strube

  • The Influence of Minimum Edit Distance on Reference Resolution

    Michael Strube;Stefan Rapp;Christoph Müller

  • Never Look Back: An Alternative to Centering

    Michael Strube

  • Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

    Chengqing Zong;Michael Strube

Frequent Co-Authors

Udo Hahn
Udo Hahn Friedrich Schiller University Jena
Simone Paolo Ponzetto
Simone Paolo Ponzetto University of Mannheim
Massimo Poesio
Massimo Poesio Queen Mary University of London
Iryna Gurevych
Iryna Gurevych Technical University of Darmstadt
Heiner Stuckenschmidt
Heiner Stuckenschmidt University of Mannheim
Anna Korhonen
Anna Korhonen University of Cambridge
Roi Reichart
Roi Reichart Technion – Israel Institute of Technology
Maxine Eskenazi
Maxine Eskenazi Carnegie Mellon University
Roberto Basili
Roberto Basili University of Rome Tor Vergata
Alessandro Moschitti
Alessandro Moschitti Amazon (United States)

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