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Dr. Martin Emms
Assistant Professor, Computer Science

Publications and Further Research Outputs

Peer-Reviewed Publications

Martin Emms and Arun Jayapal, Dynamic Generative model for Diachronic Sense Emergence Detection, COLING, Osaka, Japan, 11-17 December, 2016, pp1362 - 1373 Conference Paper, 2016 URL

Martin Emms and Arun Jayapal, An unsupervised EM method to infer time variation in sense probabilities, ICON 2015 : 12th International Conference on Natural Language Processing, Trivandrum, India, December 12-13 2015, 2015, pp266 - 271 Conference Paper, 2015 URL TARA - Full Text

Martin Emms and Arun Jayapal, Detecting change and emergence for multiword expressions, EACL MWE Workshop, Gothenburg, Sweden, April 26-30 2014, 2014, pp89 - 93 Conference Paper, 2014 URL DOI

Martin Emms and Arun Jayapal, Sense changes and Multiword Expressions, PARSEME Multiword Expressions, Athens, Mar 10-11 2014, 2014 Poster, 2014 URL URL

Arun Jayapal and Martin Emms and John Kelleher, TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach, 8th International Workshop on Semantic Evaluation (SemEval 2014), August 2014, 2014, pp619 - 623 Conference Paper, 2014 URL DOI

Martin Emms, Dynamic EM in Neologism Evolution, Intelligent Data Engineering and Automated Learning, Hefei, China, October 2013, Springer, 2013, pp286 - 293 Conference Paper, 2013 URL DOI

Martin Emms and Alfredo Maldonado-Guerra, Latent Ambiguity in Latent Semantic Analysis?, ICPRAM 2013 (Int.Conf. on Pattern Recognition Applications and Methods), Barcelona, February 15-18 2013, edited by Maria De Marsico and Ana Fred , ScitePress, 2013, pp115 - 120 Conference Paper, 2013 TARA - Full Text URL DOI

Martin Emms, On stochastic tree distances and their training via Expectation-Maximisation, ICPRAM 2012 International Conference on Pattern Recognition Application and Methods, Portugal, 6-8th February, 2012, pp144 - 153 Conference Paper, 2012 DOI TARA - Full Text

Martin Emms and Hector-Hugo Franco-Penya, Projecting Semantic Roles via Tai Mappings, KONVENS 2012 Empirical Methods in Natural Languiage Processing, Vienna, 2012, pp61 - 69 Conference Paper, 2012 URL

On the Expressivity of Alignment-Based Distance and Similarity Measures on Sequences and Trees in Inducing Orderings in, editor(s)Pedro Latorre Carmona J Salvador Sanchez Ana L. N. Fred , Mathematical Methodologies in Pattern Recognition and Machine Learning , 2012, pp1 - 18, [Martin Emms and Hector-Hugo Franco-Penya] Book Chapter, 2012

Martin Emms and Hector Franco-Penya, On order equivalences between distance and similarity measures on sequences and trees, ICPRAM 2012 International Conference on Pattern Recognition Application and Methods, 2012, pp15 - 24 Conference Paper, 2012 TARA - Full Text DOI

Alfredo Maldonado-Guerra and Martin Emms, First-order and second-order context representations: geometrical considerations and performance in word-sense disambiguation and discrimination, Proceedings of the 11th International Conference on the Statistical Analysis of Textual Data (JADT 2012), Liege, 2012, pp676 - 686 Conference Paper, 2012 URL TARA - Full Text

Alfredo Maldonado-Guerra and Martin Emms, Measuring the compositionality of collocations via word co-occurrence vectors: Shared task system description, Proceedings of the Distributional Semantics and Compositionality workshop (DISCo 2011). , 2011, pp48 - 53 Conference Paper, 2011 URL TARA - Full Text

Martin Emms, Trainable Tree Distance and application to Question Categorisation, KONVENS 2010, Sep 6-8 2010, 2010, pp123 - 127 Conference Paper, 2010 URL

Baoli Li, Martin Emms, Saturnino Luz, and Carl Vogel, Exploring multilingual semantic role labeling, Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009): Shared Task, Boulder, Colorado, USA., June 2009, edited by Jan Hajic , Association for Computational Linguistics, 2009, pp73 - 78 Conference Paper, 2009 DOI

Martin Emms, Tree distance and some other variants of evalb, LREC 2008, 2008 Conference Paper, 2008

Martin Emms, Clustering by Tree Distance for Parse Tree Normalisation, NLUCS 2006, edited by Bernadette Sharp , 2006, pp91 - 1000 Conference Paper, 2006 DOI

Martin Emms, Variants of Tree Similarity in a Question Answering Task, Linguistic Distances workshop held in conjunction with COLING 2006, 2006, pp100 - 108 Conference Paper, 2006 DOI

Martin Emms, Adapting Tree Distance to Answer Retrieval and Parser Evaluation, International Workshop on Intelligent Linguistic Technologies, Las Vegas, 27/30 June 2005, 2005 Conference Paper, 2005

Martin Emms, Tree Distance in Answer Retrieval and Parser Evaluation, Natural Language Understanding and Cognitive Science, Miami, 24/25 May 2005, 2005 Conference Paper, 2005 DOI

Martin Emms, A Prolog Based Information Extraction System, 14th International Conference on Applications of Prolog, Tokyo, 2001 Conference Paper, 2001

Martin Emms and Hans Leiss, Extending the Type Checker of Standard ML by Polymorphic Recursion, Theoretical Computer Science, 212, 1999 Journal Article, 1999

Martin Emms, Models for Polymorphic Lambek Calculus, Logical Aspects of Computational Linguistics, Nancy, September 1996, edited by Christian Retore , Springer, 1996 Conference Paper, 1996

Martin Emms, Undecidability result for polymorphic lambek calculus, Tenth Amsterdam Colloquium, Amsterdam, December 1995, 1995 Conference Paper, 1995

Non-Peer-Reviewed Publications

Martin Emms, Trainable Tree Distance and an application to Question Categorisation, Localisation Innovation Showcase (CNGL), Microsoft, Dublin, 2010 Poster, 2010

Martin Emms, ESSLLI 2007 European Summer School in Logic, Language and Information, 2007 Meetings /Conferences Organised, 2007

Martin Emms and Saturnino Luz, Machine Learning Algorithms for Natural Language Processing, 2007, - 1-110 Miscellaneous, 2007 URL

Research Expertise


Research Group: (CLG) Computational Linguistics Group. RESEARCH INTERESTS: 1. Linear Logic and Polymorphic Categorial Grammar . parsing as proof theory 2. Polymorphic Type Inference for Programming Languages . verification as proof theory 3. Language Engineering . large scale knowledges sources for parsing . robust part of speech tagging/parsing . disambiguation techniques . corpus tools an ongoing web-based parsing and tagging information extraction from biological


Artificial Intelligence



Since 2013 I have been one of the two Irish represen- tatives on the Management Committee of the COST Action 'Parsing and Multi- word Expressions (PARSEME)


I am a member of the Association for Computational Linguistics 2004