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Computer Science

D-Index
44
Citations
9171
World Ranking
7517
National Ranking
3269

Overview

Lora Aroyo is a researcher primarily affiliated with Google in the United States. Their main field of study is Computer Science, with a particular focus on Artificial Intelligence and its subfields. Over their career, they have contributed extensively to research topics that span Natural Language Processing Techniques, Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Topic Modeling, Video Analysis and Summarization, Mobile Crowdsensing and Crowdsourcing, and Machine Learning and Data Classification.

Their publication record includes works published in prominent venues such as arXiv (Cornell University), Computational Linguistics, and interactions. These venues reflect the interdisciplinary nature of their work, combining technical and social aspects of AI. Frequent publication venues where Aroyo's research appears include:

  • arXiv (Cornell University)
  • Computational Linguistics
  • interactions
  • Proceedings of the AAAI Conference on Human Computation and Crowdsourcing
  • Zenodo (CERN European Organization for Nuclear Research)

Notable recent papers by Lora Aroyo include:

  • "LaMDA: Language Models for Dialog Applications," 2022, arXiv (Cornell University)
  • "DataPerf: Benchmarks for Data-Centric AI Development," 2022, arXiv (Cornell University)
  • "Measuring Attribution in Natural Language Generation Models," 2023, Computational Linguistics
  • "Data excellence for AI," 2022, interactions
  • "Measuring Attribution in Natural Language Generation Models," 2023, Computational Linguistics

Aroyo frequently collaborates with other researchers, sharing multiple publications with a group of coauthors who have contributed to their work in various capacities. These frequent coauthors include:

  • Alicia Parrish
  • Oana Inel
  • Mark Díaz
  • Vinodkumar Prabhakaran
  • Praveen Paritosh

The diverse scope of topics in Aroyo's research reflects a commitment to addressing both technical challenges and societal implications in artificial intelligence. This dual focus is evident in their examined subjects covering explainability, ethical concerns, and social impacts as well as foundational AI methodologies and applications spanning video summarization and crowdsourcing strategies.

Best Publications

  • The Semantic Web - ISWC 2006

    Isabel Cruz;Stefan Decker;Dean Allemang;Chris Preist

  • The effects of transparency on trust in and acceptance of a content-based art recommender

    Henriette Cramer;Vanessa Evers;Satyan Ramlal;Maarten Someren

  • Crowdsourcing in the cultural heritage domain: opportunities and challenges

    Johan Oomen;Lora Aroyo

  • The Semantic Web - ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I

    Lora Aroyo;Chris Welty;Harith Alani;Jamie Taylor

  • The New Challenges for E-learning: The Educational Semantic Web

    Lora Aroyo;Darina Dicheva

  • Interoperability in Personalized Adaptive Learning

    Lora Aroyo;Peter Dolog;Geert-Jan Houben;Milos Kravcik

  • Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation

    Lora Aroyo;Chris Welty

  • The Next Big Thing: Adaptive Web-Based Systems

    Pme Paul De Bra;LM Lora Aroyo;V Vadim Chepegin

  • Semantic annotation and search of cultural-heritage collections: The MultimediaN E-Culture demonstrator

    Guus Schreiber;Alia Amin;Lora Aroyo;Mark van Assem

  • The Semantic Web - ISWC 2013

    Harith Alani;Lalana Kagal;Achille Fokoue;Paul Groth

  • Recommendations based on semantically enriched museum collections

    Yiwen Wang;Natalia Stash;Lora Aroyo;Peter Gorgels

  • Adaptive Web-based Educational Hypermedia

    Pme Paul De Bra;LM Lora Aroyo;AI Alexandra Cristea

  • Cultivating Personalized Museum Tours Online and On-Site

    Yiwen Wang;Natalia Stash;Rody Sambeek;Yuri Schuurmans

  • Ontological Support for Web Courseware Authoring

    Lora Aroyo;Darina Dicheva;Alexandra I. Cristea

  • CHIP demonstrator: semantics-driven recommendations and museum tour generation

    Lora Aroyo;Natalia Stash;Yiwen Wang;Peter Gorgels

  • Crowdsourcing Subjective Tasks: The Case Study of Understanding Toxicity in Online Discussions

    Unknown

  • Crowd Truth: Harnessing disagreement in crowdsourcing a relation extraction gold standard

    Lora Aroyo;Chris Welty

  • Integrating open user modeling and learning content management for the semantic web

    Ronald Denaux;Vania Dimitrova;Lora Aroyo

  • CrowdTruth: Machine-Human Computation Framework for Harnessing Disagreement in Gathering Annotated Data

    Oana Inel;Khalid Khamkham;Tatiana Cristea;Anca Dumitrache

  • DataPerf: Benchmarks for Data-Centric AI Development

    Unknown

  • Finding your way through the rijksmuseum with an adaptive mobile museum guide

    Willem Robert van Hage;Natalia Stash;Yiwen Wang;Lora Aroyo

  • The Semantic Web: Research and Applications

    Lora Aroyo;Grigoris Antoniou;Eero Hyvönen;Annette Ten Teije

Frequent Co-Authors

Chris Welty
Chris Welty Google (United States)
Guus Schreiber
Guus Schreiber Vrije Universiteit Amsterdam
Geert-Jan Houben
Geert-Jan Houben Delft University of Technology
Riichiro Mizoguchi
Riichiro Mizoguchi Japan Advanced Institute of Science and Technology
Piek Vossen
Piek Vossen Vrije Universiteit Amsterdam
Eero Hyvönen
Eero Hyvönen Aalto University
Harith Alani
Harith Alani The Open University
Grigoris Antoniou
Grigoris Antoniou University of Huddersfield
Bob Wielinga
Bob Wielinga University of Amsterdam

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