Crossword puzzles are used everyday by millions of people for entertainment, but have ap- plications also in educational and rehabilitation contexts. Unfortunately, the generation of ad-hoc puzzles, especially on specific subjects, typically requires a great deal of human expert work. This paper presents the architecture of WebCrow-generation, a system that is able to generate crosswords with no human intervention, including clue generation and crossword compilation. In particular, the proposed system crawls information sources on the Web, extracts definitions from the downloaded pages using state-of-the-art natural language processing techniques and, finally, compiles the crossword schema with the ex- tracted definitions by constraint satisfaction programming. The system has been tested on the creation of Italian crosswords, but the extensive use of machine learning makes the system easily portable to other languages.

Rigutini, L., Diligenti, M., Maggini, M., Gori, M. (2012). Automatic Generation of Crossword Puzzles. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 21(3), 1-22 [10.1142/S0218213012500145].

Automatic Generation of Crossword Puzzles

RIGUTINI, LEONARDO;DILIGENTI, MICHELANGELO;MAGGINI, MARCO;GORI, MARCO
2012-01-01

Abstract

Crossword puzzles are used everyday by millions of people for entertainment, but have ap- plications also in educational and rehabilitation contexts. Unfortunately, the generation of ad-hoc puzzles, especially on specific subjects, typically requires a great deal of human expert work. This paper presents the architecture of WebCrow-generation, a system that is able to generate crosswords with no human intervention, including clue generation and crossword compilation. In particular, the proposed system crawls information sources on the Web, extracts definitions from the downloaded pages using state-of-the-art natural language processing techniques and, finally, compiles the crossword schema with the ex- tracted definitions by constraint satisfaction programming. The system has been tested on the creation of Italian crosswords, but the extensive use of machine learning makes the system easily portable to other languages.
2012
Rigutini, L., Diligenti, M., Maggini, M., Gori, M. (2012). Automatic Generation of Crossword Puzzles. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 21(3), 1-22 [10.1142/S0218213012500145].
File in questo prodotto:
File Dimensione Formato  
S0218213012500145.pdf

non disponibili

Tipologia: Post-print
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 704.43 kB
Formato Adobe PDF
704.43 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/30971
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo