Ronan Cummins
Ronan Cummins
Ieso Digital Health
Verified email at cl.cam.ac.uk - Homepage
TitleCited byYear
Learning in a pairwise term-term proximity framework for information retrieval
R Cummins, C O'Riordan
Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009
682009
Evolving local and global weighting schemes in information retrieval
R Cummins, C O’Riordan
Information Retrieval 9 (3), 311-330, 2006
542006
Evaluating aggregated search pages
K Zhou, R Cummins, M Lalmas, JM Jose
Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012
482012
Improved query performance prediction using standard deviation
R Cummins, J Jose, C O'Riordan
Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011
402011
Evolving general term-weighting schemes for information retrieval: Tests on larger collections
R Cummins, C O’riordan
Artificial Intelligence Review 24 (3-4), 277-299, 2005
272005
A Pólya urn document language model for improved information retrieval
R Cummins, JH Paik, Y Lv
ACM Transactions on Information Systems (TOIS) 33 (4), 21, 2015
262015
An axiomatic comparison of learned term-weighting schemes in information retrieval: clarifications and extensions
R Cummins, C O’Riordan
Artificial Intelligence Review 28 (1), 51-68, 2007
262007
Which vertical search engines are relevant?
K Zhou, R Cummins, M Lalmas, JM Jose
Proceedings of the 22nd international conference on World Wide Web, 1557-1568, 2013
252013
Constrained multi-task learning for automated essay scoring
R Cummins, M Zhang, EJ Briscoe
Association for Computational Linguistics, 2016
202016
Evolved term-weighting schemes in Information Retrieval: an analysis of the solution space
R Cummins, C O’Riordan
Artificial Intelligence Review 26 (1-2), 35-47, 2006
172006
Sentence similarity measures for fine-grained estimation of topical relevance in learner essays
M Rei, R Cummins
arXiv preprint arXiv:1606.03144, 2016
162016
Assessing and predicting vertical intent for web queries
K Zhou, R Cummins, M Halvey, M Lalmas, JM Jose
European Conference on Information Retrieval, 499-502, 2012
152012
Predicting query performance directly from score distributions
R Cummins
Asia Information Retrieval Symposium, 315-326, 2011
152011
Evaluating large-scale distributed vertical search
K Zhou, R Cummins, M Lalmas, J Jose
Proceedings of the 9th workshop on Large-scale and distributed informational …, 2011
152011
Document score distribution models for query performance inference and prediction
R Cummins
ACM Transactions on Information Systems (TOIS) 32 (1), 2, 2014
142014
A constraint to automatically regulate document-length normalisation
R Cummins, C O'Riordan
Proceedings of the 21st ACM international conference on Information and …, 2012
142012
Evaluating reward and risk for vertical selection
K Zhou, R Cummins, M Lalmas, JM Jose
Proceedings of the 21st ACM international conference on Information and …, 2012
142012
On the reliability and intuitiveness of aggregated search metrics
K Zhou, M Lalmas, T Sakai, R Cummins, JM Jose
Proceedings of the 22nd ACM international conference on Information …, 2013
132013
The evolution and analysis of term-weighting schemes in information retrieval
R Cummins
PhD thesis, National University of Ireland, Galway, 2008
132008
Evaluating the performance of automated text scoring systems
H Yannakoudakis, R Cummins
Proceedings of the Tenth Workshop on Innovative Use of NLP for Building …, 2015
122015
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