Papers

Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: a systematic review and critical appraisal
N. Dormosh, M. Rios, PhD, T.T. Luik. T.M. Buonocore, P.WG. Elbers, D.A. Dongelmans, M.C. Schut, and A. Abu-Hanna. In Journal of Biomedical Informatics. https://doi.org/10.1016/j.jbi.2023.104504, 2023.

Quality Analysis of Multilingual Neural Machine Translation Systems and Reference Test Translations for the English-Romanian Language Pair in the Medical Domain
M. Rios, RM. Chereji, A. Secara, and D. Ciobanu. In EAMT, 2023.
[code]

Negation detection in Dutch clinical texts: an evaluation of rule-based and machine learning methods
B. van Es, LC. Reteig, SC. Tan, M. Schraagen, MM. Hemker, SRS. Arends, M. Rios, and S. Haitjema . In BMC Bioinformatics 24, 10 (2023). https://doi.org/10.1186/s12859-022-05130-x, 2023.
[code]

Impact of Domain-Adapted Multilingual Neural Machine Translation in the Medical Domain
M. Rios, RM. Chereji, A Secara, and D Ciobanu. In Translating and the Computer - TC44, 24 November 2022, Luxembourg, 2022.
[arXiv]

Evaluating Pointwise Reliability of Machine Learning prediction
G. Nicora, M. Rios, A. Abu-Hanna, and R. Bellazzi. In Journal of Biomedical Informatics, 2022.

Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
M. Rios, and A. Abu-Hanna. In Artificial Intelligence in Medicine, 2021.
[code]

Pre-trained Text Representations with Knowledge Bases for Mortality Prediction
G. Albi, M. Rios, A. Abu-Hanna, and R. Bellazzi. In Workshop on Knowledge Representation for Health Care, KR4HC 2021, 2021.
[code]

The Effectiveness of Phrase Skip-Gram in Primary Care NLP for the Prediction of Lung Cancer
T.T. Luik, M. Rios, A. Abu-Hanna, H.C.P.M. van Weert, and M.C. Schut. In Artificial Intelligence in Medicine, 2021.

Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levels
M. Rios, and A. Abu-Hanna. In Technical Reports at the Department of Medical Informatics, Amsterdam UMC, 2021.

Latent Variable Model for Multi-modal Translation
I. Calixto, M. Rios and W. Aziz. In ACL, 2019.
[bibtex] [arXiv]

Deep Generative Model for Joint Alignment and Word Representation
M. Rios, W. Aziz, and K. Sima'an. In NAACL-HLT, 2018.
[bibtex] [arXiv] [code]

The QT21 Combined Machine Translation System for English to Latvian
J. Peter, H. Ney, O. Bojar, N. Pham, J. Niehues, A. Waibel, F. Burlot, F. Yvon, M. Pinnis, V. Šics, J. Bastings, M. Rios, W. Aziz, P. Williams, F. Blain, and L. Specia. In WMT, 2017.
[bibtex]

Language Adaptation for Extending Post-Editing Estimates for Closely Related Languages
M. Rios, S. Sharoff. In The Prague Bulletin of Mathematical Linguistics, 2016.
[bibtex]

Large Scale Translation Quality Estimation
M. Rios, S. Sharoff. In Deep Machine Translation Workshop, 2015.
[bibtex]

Obtaining SMT dictionaries for related languages
M. Rios, S. Sharoff. In Workshop on Building and Using Comparable Corpora, ACL, 2015.
[bibtex]

Uow: Multi-task learning gaussian process for semantic textual similarity
M. Rios and L. Specia. In SEMEVAL, 2014.
[bibtex]

Statistical Relational Learning to Recognise Textual Entailment
M. Rios, L. Specia, A. Gelbukh and R. Mitkov. In CICLing, 2014.
[bibtex]

PhD thesis: Methods for Measuring Semantic Similarity of Texts
M. Rios. In University of Wolverhampton, 2014.
[bibtex] [thesis]

Recognizing Textual Entailment with Similarity Metrics
M. Rios, A. Gelbukh. In Research in Computing Science, ISSN 1870-4069, 2012.

Recognizing Textual Entailment with a Semantic Edit Distance Metric
M. Rios, A. Gelbukh.. In MICAI, 2012.
[bibtex]

Coreference Resolution: To What Extent Does It Help NLP Applications?
R. Mitkov, R. Evans, C. Orasan, I. Dornescu, M. Rios. In TSD, 2012.
[bibtex]

UOW: Semantically Informed Text Similarity
M. Rios, W. Aziz, and L. Specia. In SEMEVAL, 2012.
[bibtex]

TINE: A Metric to Assess MT Adequacy
M. Rios, W. Aziz, and L. Specia. In WMT, 2011.
[bibtex]

Shallow Semantic Trees for SMT
W. Aziz, M. Rios, and L. Specia. In WMT, 2011.
[bibtex]

Improving Chunk-based Semantic Role Labeling with Lexical Features
W. Aziz, M. Rios, and L. Specia. In RANLP, 2011.
[bibtex]

Master thesis: Word Sense Disambiguation and Recognizing Textual Entailment with Statistical Methods
M. Rios. In Centre for Computing Research, IPN, Mexico, 2010.

Recognizing Textual Entailment Using a Machine Learning Approach
M. Rios, A. Gelbukh, and S. Bandyopadhyay. In MICAI, 2010.
[bibtex]

Recognizing Textual Entailment with Statistical Methods
M. Rios, A. Gelbukh, and S. Bandyopadhyay. In MCPR, 2010.
[bibtex]

Web-based Variant of the Lesk Approach to Word Sense Disambiguation
M. Rios, A. Gelbukh, and S. Bandyopadhyay. In MICAI, 2009.
[bibtex]

Word Sense Disambiguation with the KORA-Ω Algorithm
M. Rios, S. Godoy Calderon, and A. Gelbukh. In Special issue of Journal Research in Computing Science, ISSN 1870-4069, 2008.

BEng thesis: Word Sense Disambiguation Using Synonyms
M. Rios. In Superior School of Computing, IPN, Mexico, 2008.