Zugarini, A.* ; Rothenbacher, T.* ; Klede, K.* ; Ernandes, M.* ; Eskofier, B.M. ; Zanca, D.*
Die Rätselrevolution: Automated German Crossword Solving.
In: (9th Italian Conference on Computational Linguistics, CLiC-it 2023, 30 November-2 December 2023, Venice, Italy). Aachen: RWTH, 2023. (CEUR Workshop Proc. ; 3596)
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Crossword puzzles are popular word games played in various languages around the world, with diverse styles across different countries. For this reason, automated crossword solvers designed for a language, may not work well on others. In this paper, we extend Webcrow, an automatic crossword solver, to German, making it the first program for crossword solving in the German language. To address the lack of large clue-answer crossword pairs data, Webcrow combines multiple modules, known as experts, which retrieve potential answers from various resources, including the web, knowledge graphs, and linguistic rules. The system is evaluated on a collection of crosswords from variegate sources, where it is able to solve perfectly 67% of them. Additional analysis reveals that while our solver achieved commendable results, puzzles with poorly constrained schemas and original clues still presented significant hurdles. These findings shed light on the complexity of the crossword-solving problem and emphasize the need for future research to address and overcome these particular challenges effectively.
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Publikationstyp
Artikel: Konferenzbeitrag
Dokumenttyp
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Automated Crosswords Solving ; German Crosswords ; Question Answering
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2023
Prepublished im Jahr
0
HGF-Berichtsjahr
2023
ISSN (print) / ISBN
1613-0073
e-ISSN
ISBN
Bandtitel
Konferenztitel
9th Italian Conference on Computational Linguistics, CLiC-it 2023
Konferzenzdatum
30 November-2 December 2023
Konferenzort
Venice, Italy
Konferenzband
Quellenangaben
Band: 3596
Heft: ,
Seiten: ,
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
RWTH
Verlagsort
Aachen
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Institut(e)
Institute of AI for Health (AIH)
POF Topic(s)
30205 - Bioengineering and Digital Health
Forschungsfeld(er)
Enabling and Novel Technologies
PSP-Element(e)
G-540008-001
Förderungen
Copyright
Erfassungsdatum
2024-01-16