Syntactic-Semantic Extraction of Patterns Applied to the US and European Patents Domain

Anabel Fraga, Juan Llorens, Eugenio Parra, Leticia Arroyo, Valentín Moreno

2016

Abstract

Nowadays, there are many scientific inventions referring to any topic like medicine, technology, economics, finance, banking, computer science, and so on. These inventions are suggested as patents to the agencies working in US and Europe for the registration and revision of the patent applications. But, the job of reviewing the patents might be complicated because every day the quantity of it is bigger and bigger. And also, the amount of work dedicated writing a proper application might be intricate and needs several revisions from investor and examiners. This revision job might have costs for the inventor because they don’t know the proper language for writing the application in the formal mode used. As part of a solution, one approach to minimize the impact of this fact and increase the success of the reviewing process is aid the human reviewer and also inventors with a set of patterns created using Natural Language Processing techniques that accelerate the review just looking in the massive set of registration any similar one already patented and on the other hand aid the inventor writing in the formal manner the application.

References

  1. Abney, Steven. Part-of-Speech Tagging and Partial Parsing, S. young and G. Bloothooft (eds.) CorpusBased Methods in Language and Speech Processing. An ELSNET book. Bluwey Academic Publishers, Dordrecht. 1997.
  2. Alonso, Laura. Herramientas Libres para Procesamiento del Lenguaje Natural. Facultad de Matemática, Astronomía y Física. UNC, Córdoba, Argentina. 5tas Jornadas Regionales de Software Libre. 20 de noviembre de 2005. Available in: http://www.cs. famaf.unc.edu.ar/laura/freeNLP
  3. Amsler, R. A. A taxonomy for English nouns and verbs. Proceedings of the 19th annual Meeting of the Association for Computational Linguistic. Stanford, California, 1981. Pp. 133-138.
  4. Carreras, xavier. Márquez, luis. phrase recognition by filtering and ranking with perceptrons. en proceedings of the 4th ranlp conference, borovets, bulgaria, september 2003.
  5. Cowie, Jim. Wilks, Yorick. Information Extraction. En DALE, R. (ed). Handbook of Natural Language Processing. New York: Marcel Dekker, 2000. Pp.241- 260.
  6. Dale, R. Symbolic Approaches to Natural Language Processing. En Dale, R (ed). Handbook of Natural Language Processing. New York: Marcel Dekker, 2000.
  7. Fraga, Anabel. A methodology for reusing any kind of knowledge: Universal Knowledge Reuse. PhD Disertation. Universidad Carlos III de Madrid, 2010.
  8. Gómez-Pérez, Asunción. Fernando-López, Mariano. Corcho, Oscar. Ontological Engineering. London: Springer, 2004.
  9. Hopcroft, J. E. Ullman, J. D. introduction to automata theory, languages and computations. addison-wesley, reading, ma, united states. 1979.
  10. Llorens, J., Morato, J., Genova, G. RSHP: an information representation model based on relationships. in ernesto damiani, lakhmi c. jain, mauro madravio (eds.), soft computing in software engineering (studies in fuzziness and soft computing series, vol. 159), springer 2004, pp. 221-253.
  11. Llorens, Juan. Definición de una Metodología y una Estructura de Repositorio Orientadas a la Reutilización: El Tesauro de Software. Universidad Carlos III. 1996.
  12. Manning Christopher, "Foundations of Statistic Natural Language Processing", Cambridge University, England, 1999, 81
  13. Martí, M. A. Llisterri, J. Tratamiento del Lenguaje Natural. Barcelona: Universitat de Barcelona, 2002. p. 207.
  14. Moreno, Valentín. Representación del Conocimiento de Proyectos de Software Mediante Técnicas Automatizadas. Anteproyecto de Tesis Doctoral. Universidad Carlos III de Madrid. Marzo 2009.
  15. Parra, Eugenio. Metodología orientada a la optimización automática de la calidad de los requisitos. PhD Disertation. Universidad Carlos III de Madrid, 2016.
  16. Poesio, M. semantic analysis. en dale, r. (ed). handbook of natural language processing. new york: marcel dekker, 2000.
  17. Rehberg, C. P. Automatic Pattern Generation in Natural Language Processing. United States Patent. US 8,180,629 b2. May 15, 2012. January, 2010.
  18. Riley, M. D. Some Applications of Tree-based Modeling to Speech and Language Indexing. Proceedings of the Darpa Speech and Natural Language Workshop. California: Morgan Kaufmann, 1989. pp. 339-352.
  19. Suarez, P., Moreno, V., Fraga, A., Llorens, J. Automatic Generation of Semantic Patterns using Techniques of Natural Language Processing. SKY 2013: 34-44.
  20. Thomason, Richmond H. What is Semantics? Version 2. March 27, 2012. Available in: http://web.eecs.umich. edu/rthomaso/documents/general/what-is-semantics. html
  21. Triviño, J.L. Morales Bueno, R. A Spanish POS tagger with variable memory. In Proceedings of the Sixth International Workshop on Parsing Technologies (IWPT-2000). ACL/SIGPARSE, Trento, Italia, 2000. pp. 254-265.
  22. Weischedel, R. Metter, M. Schwartz, r. Ramshaw, L. Palmucci, J. coping with ambiguity and unknown through probabilistic models. computational linguistics, vol. 19, pp. 359-382.
Download


Paper Citation


in Harvard Style

Fraga A., Llorens J., Parra E., Arroyo L. and Moreno V. (2016). Syntactic-Semantic Extraction of Patterns Applied to the US and European Patents Domain . In Proceedings of the 7th International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2016) ISBN 978-989-758-202-8, pages 36-43. DOI: 10.5220/0006098600360043


in Bibtex Style

@conference{sky16,
author={Anabel Fraga and Juan Llorens and Eugenio Parra and Leticia Arroyo and Valentín Moreno},
title={Syntactic-Semantic Extraction of Patterns Applied to the US and European Patents Domain},
booktitle={Proceedings of the 7th International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2016)},
year={2016},
pages={36-43},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006098600360043},
isbn={978-989-758-202-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Workshop on Software Knowledge - Volume 1: SKY, (IC3K 2016)
TI - Syntactic-Semantic Extraction of Patterns Applied to the US and European Patents Domain
SN - 978-989-758-202-8
AU - Fraga A.
AU - Llorens J.
AU - Parra E.
AU - Arroyo L.
AU - Moreno V.
PY - 2016
SP - 36
EP - 43
DO - 10.5220/0006098600360043