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Dr. Martin Emms

Assistant Professor (Computer Science)
OREILLY INSTITUTE

 Martin.Emms@tcd.ie

 3531896 1542


Research Tags

  Artificial Intelligence

Representations

Details Date
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)

Memberships

Membership of Professional Institutions, Associations, Societies

Details Date From Date To
I am a member of the Association for Computational Linguistics 2004
Martin Emms and Arun Jayapal, Dynamic Generative model for Diachronic Sense Emergence Detection, COLING, Osaka, Japan, 11-17 December, 2016, pp1362 - 1373, Conference Paper, PUBLISHED  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, PUBLISHED  TARA - Full Text  URL
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, PUBLISHED  DOI  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, PUBLISHED  DOI  URL
Martin Emms and Arun Jayapal, Sense changes and Multiword Expressions, PARSEME Multiword Expressions, Athens, Mar 10-11 2014, 2014, Poster, PUBLISHED  URL  URL
Martin Emms, Dynamic EM in Neologism Evolution, Intelligent Data Engineering and Automated Learning, Hefei, China, October 2013, Springer, 2013, pp286 - 293, Conference Paper, PUBLISHED  DOI  URL
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, PUBLISHED  TARA - Full Text  DOI  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, PUBLISHED
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, Notes: [winner of best paper award], Conference Paper, PUBLISHED  TARA - Full Text  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, PUBLISHED  TARA - Full Text  DOI
  

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Martin Emms, Trainable Tree Distance and an application to Question Categorisation, Localisation Innovation Showcase (CNGL), Microsoft, Dublin, 2010, Poster, PRESENTED
Martin Emms, ESSLLI 2007 European Summer School in Logic, Language and Information, 2007, Notes: [I was one of the co-organisers of this summer school held at Trinity College in August 2007], Meetings /Conferences Organised, PUBLISHED
Martin Emms and Saturnino Luz, Machine Learning Algorithms for Natural Language Processing, 2007, - 1-110, Notes: [This was a reader written to accompany a course taught at the ESSLLI 2007 summer school], Miscellaneous, PRESENTED

  

Research Interests

Description Of Research Interests

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