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Charles L. A. Clarke

Charles L. A. Clarke

D-Index & Metrics

Computer Science

D-Index
55
Citations
12193
World Ranking
4313
National Ranking
171

Research.com Recognitions

  • 2015 - ACM Distinguished Member

Overview

Charles L. A. Clarke is affiliated with the University of Waterloo in Canada. Their research primarily falls within the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Transportation, and Computer Science Applications.

The main topics addressed in their work include:

  • Topic Modeling
  • Information Retrieval and Search Behavior
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Semantic Web and Ontologies
  • Speech and dialogue systems
  • Expert finding and Q&A systems

Charles L. A. Clarke has contributed to numerous publications, with a significant number appearing in venues such as arXiv (Cornell University), ACM SIGIR Forum, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Communications of the ACM, and Information Retrieval.

Notable recent papers include:

  • "Shallow pooling for sparse labels," 2022, Information Retrieval
  • "Who Determines What Is Relevant? Humans or AI? Why Not Both?", 2024, Communications of the ACM
  • "Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education," 2023, ACM SIGIR Forum
  • "Assessing Top- Preferences," 2021, ACM Transactions on Information Systems
  • "A Comparison of Methods for Evaluating Generative IR," 2024, arXiv (Cornell University)

Frequent co-authors include:

  • Negar Arabzadeh
  • Guglielmo Faggioli
  • Noriko Kando
  • Mohammad Aliannejadi
  • Laura Dietz

Charles L. A. Clarke was recognized as an ACM Distinguished Member in 2015.

Best Publications

  • Novelty and diversity in information retrieval evaluation

    Charles L.A. Clarke;Maheedhar Kolla;Gordon V. Cormack;Olga Vechtomova

  • Information Retrieval: Implementing and Evaluating Search Engines

    Stefan Büttcher;Charles Clarke;Gordon V. Cormack

  • Reciprocal rank fusion outperforms condorcet and individual rank learning methods

    Gordon V. Cormack;Charles L A Clarke;Stefan Buettcher

  • Overview of the TREC 2009 Web Track

    Charles L. A. Clarke;Nick Craswell;Ian Soboroff

  • Efficient and effective spam filtering and re-ranking for large web datasets

    Gordon V. Cormack;Mark D. Smucker;Charles L. Clarke

  • Exploiting redundancy in question answering

    Charles L. A. Clarke;Gordon V. Cormack;Thomas R. Lynam

  • Efficient construction of large test collections

    Gordon V. Cormack;Christopher R. Palmer;Charles L. A. Clarke

  • Relevance ranking for one to three term queries

    Charles L. A. Clarke;Gordon V. Cormack;Elizabeth A. Tudhope

  • Frequency estimates for statistical word similarity measures

    Egidio Terra;C. L. A. Clarke

  • An Algebra for Structured Text Search and a Framework for its Implementation

    Charles L. A. Clarke;Gordon V. Cormack;Forbes J. Burkowski

  • Time-based calibration of effectiveness measures

    Mark D. Smucker;Charles L.A. Clarke

  • Term proximity scoring for ad-hoc retrieval on very large text collections

    Stefan Büttcher;Charles L. A. Clarke;Brad Lushman

  • Overview of the TREC 2012 Web Track

    Charles L. A. Clarke;Nick Craswell;Ellen M. Voorhees

  • Overview of the TREC 2004 Terabyte Track.

    Charles L. A. Clarke;Nick Craswell;Ian Soboroff

  • The influence of caption features on clickthrough patterns in web search

    Charles L. A. Clarke;Eugene Agichtein;Susan Dumais;Ryen W. White

  • Question Answering by Passage Selection (MultiText Experiments for TREC-9).

    Charles L. A. Clarke;Gordon V. Cormack;D. I. E. Kisman;Thomas R. Lynam

  • An Effectiveness Measure for Ambiguous and Underspecified Queries

    Charles L. Clarke;Maheedhar Kolla;Olga Vechtomova

  • Archetypal source code searches: a survey of software developers and maintainers

    S.E. Sim;C.L.A. Clarke;R.C. Holt

  • Perspectives on Large Language Models for Relevance Judgment

    Unknown

  • A comparative analysis of cascade measures for novelty and diversity

    Charles L.A. Clarke;Nick Craswell;Ian Soboroff;Azin Ashkan

  • Overview of the TREC 2010 Web Track.

    Charles L. A. Clarke;Nick Craswell;Ian Soboroff;Gordon V. Cormack

  • TREC 2013 Web Track Overview

    Kevyn Collins-Thompson;Paul Bennett;Fernando Diaz;Charles L Clarke

Frequent Co-Authors

Gordon V. Cormack
Gordon V. Cormack University of Waterloo
Jaap Kamps
Jaap Kamps University of Amsterdam
Jimmy Lin
Jimmy Lin University of Waterloo
Ian Soboroff
Ian Soboroff National Institute of Standards and Technology
Nick Craswell
Nick Craswell Microsoft (United States)
Eugene Agichtein
Eugene Agichtein Emory University
Ellen M. Voorhees
Ellen M. Voorhees National Institute of Standards and Technology
Vanessa Murdock
Vanessa Murdock Amazon (United States)
Craig Macdonald
Craig Macdonald University of Glasgow
Jamie Callan
Jamie Callan Carnegie Mellon University

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