Dr. Martin Emms

Dr. Martin Emms

Assistant Professor, Computer Science

3531896 1542http://people.tcd.ie/mtemms

Publications and Further Research Outputs

  • 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 - 271Conference Paper, 2015, URL , TARA - Full Text
  • Martin Emms and Arun Jayapal, Dynamic Generative model for Diachronic Sense Emergence Detection, COLING, Osaka, Japan, 11-17 December, 2016, pp1362 - 1373Conference Paper, 2016, URL
  • Martin Emms, Tree Distance in Answer Retrieval and Parser Evaluation, Natural Language Understanding and Cognitive Science, Miami, 24/25 May 2005, 2005Conference Paper, 2005, DOI
  • Martin Emms, Adapting Tree Distance to Answer Retrieval and Parser Evaluation, International Workshop on Intelligent Linguistic Technologies, Las Vegas, 27/30 June 2005, 2005Conference Paper, 2005
  • Martin Emms, A Prolog Based Information Extraction System, 14th International Conference on Applications of Prolog, Tokyo, 2001Conference Paper, 2001
  • Martin Emms and Hans Leiss, Extending the Type Checker of Standard ML by Polymorphic Recursion, Theoretical Computer Science, 212, 1999Journal Article, 1999
  • Martin Emms, Models for Polymorphic Lambek Calculus, Logical Aspects of Computational Linguistics, Nancy, September 1996, edited by Christian Retore , Springer, 1996Conference Paper, 1996
  • Martin Emms, Undecidability result for polymorphic lambek calculus, Tenth Amsterdam Colloquium, Amsterdam, December 1995, 1995Conference Paper, 1995
  • Martin Emms, Clustering by Tree Distance for Parse Tree Normalisation, NLUCS 2006, edited by Bernadette Sharp , 2006, pp91 - 1000Conference 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 - 108Conference Paper, 2006, DOI
  • Martin Emms, Tree distance and some other variants of evalb, LREC 2008, 2008Conference Paper, 2008
  • 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 - 78Conference Paper, 2009, DOI
  • Martin Emms, Trainable Tree Distance and application to Question Categorisation, KONVENS 2010, Sep 6-8 2010, 2010, pp123 - 127Conference Paper, 2010, URL
  • 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 - 53Conference Paper, 2011, URL , TARA - Full Text
  • 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 - 24Conference Paper, 2012, DOI , TARA - Full Text
  • 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 - 153Conference Paper, 2012, DOI , TARA - Full Text
  • 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 - 686Conference Paper, 2012, URL , 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 - 69Conference 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 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 - 120Conference Paper, 2013, DOI , URL , TARA - Full Text
  • Martin Emms, Dynamic EM in Neologism Evolution, Intelligent Data Engineering and Automated Learning, Hefei, China, October 2013, Springer, 2013, pp286 - 293Conference Paper, 2013, DOI , URL
  • Martin Emms and Arun Jayapal, Sense changes and Multiword Expressions, PARSEME Multiword Expressions, Athens, Mar 10-11 2014, 2014Poster, 2014, URL
  • Martin Emms and Arun Jayapal, Detecting change and emergence for multiword expressions, EACL MWE Workshop, Gothenburg, Sweden, April 26-30 2014, 2014, pp89 - 93Conference Paper, 2014, 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 - 623Conference Paper, 2014, DOI , URL
  • Martin Emms, ESSLLI 2007 European Summer School in Logic, Language and Information, 2007Meetings /Conferences Organised
  • Martin Emms and Saturnino Luz, Machine Learning Algorithms for Natural Language Processing, 2007, - 1-110Miscellaneous, URL
  • Martin Emms, Trainable Tree Distance and an application to Question Categorisation, Localisation Innovation Showcase (CNGL), Microsoft, Dublin, 2010Poster

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

Recognition

  • I am a member of the Association for Computational Linguistics
  • 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)
  • 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)