Automatic Definition Extraction and Crossword Generation From Spanish News Text

Authors

  • Jennifer Esteche
  • Romina Romero
  • Luis Chiruzzo
  • Aiala Rosá

DOI:

https://doi.org/10.19153/cleiej.20.2.6

Keywords:

Definition Extraction, Crossword Generation, Natural Language Processing

Abstract

This paper describes the design and implementation of a system that takes Spanish texts and generates crosswords (board and definitions) in a fully automatic way using definitions extracted from those texts. Our solution divides the problem in two parts: a definition extraction module that applies pattern matching implemented in Python, and a crossword generation module that uses a greedy strategy implemented in Prolog. The system achieves 73% precision and builds crosswords similar to those built by humans.

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Published

2017-08-01

Issue

Vol. 20 No. 2 (2017): Special issue devoted to CLEI 2016 (part 1)

Section

Articles

License

CLEIej is supported by its home institution, CLEI, and by the contribution of the Latin American and international researchers community, and it does not apply any author charges whatsoever for submitting and publishing. Since its creation in 1998, all contents are made publicly accesibly. The current license being applied is a (CC)-BY license (effective October 2015; between 2011 and 2015 a (CC)-BY-NC license was used).