Summary of the paper

Title Definition Patterns for Predicative Terms in Specialized Lexical Resources
Authors Antonio San Martín and Marie-Claude L' Homme
Abstract "The research presented in this paper is part of a larger project on the semi-automatic generation of definitions of semantically-related terms in specialized resources. The work reported here involves the formulation of instructions to generate the definitions of sets of morphologically-related predicative terms, based on the definition of one of the members of the set. In many cases, it is assumed that the definition of a predicative term can be inferred by combining the definition of a related lexical unit with the information provided by the semantic relation (i.e. lexical function) that links them. In other words, terminographers only need to know the definition of ""pollute"" and the semantic relation that links it to other morphologically-related terms (""polluter"", ""polluting"", ""pollutant"", etc.) in order to create the definitions of the set. The results show that rules can be used to generate a preliminary set of definitions (based on specific lexical functions). They also show that more complex rules would need to be devised for other morphological pairs."
Topics Semantics, Other
Full paper Definition Patterns for Predicative Terms in Specialized Lexical Resources
Bibtex @InProceedings{SANMARTN14.1067,
  author = {Antonio San Martín and Marie-Claude L' Homme},
  title = {Definition Patterns for Predicative Terms in Specialized Lexical Resources},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 }
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