Automatic generation of fill-in clues and answers from raw texts for crosswords

• Main Authors: Bali, Ranaivo-Malançon, Terrin, Lim, Jacey-Lynn, Minoi, Amelia Jati, Robert Jupit
• Format: Proceeding
• Language: English
• Published: 2013
• Subjects: T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/8463/1/Automatic%20Generation.pdf; http://ir.unimas.my/id/eprint/8463/; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6637572

This paper presents a method to generate fill-in clues and answers for building automatically a crossword. Answers are capitalised words present in an input sentence and clues are segments of the dependency syntactic structure of that sentence. The pairs (Clue, ANSWER) are extracted from a collection of raw sentences related to the history of Sarawak. This work is at its early stage, and thus the proposed method that generates automatically fill-in clues, was tested on a small set of sentences and the obtained results are promising. Near 53% of the generated fill-in clues are considered correct. The major contribution of this work is the innovative strategy used to read the result of a pre-order depth-first search applied on a dependency graph to generate the clues. The clues and answers generator is implemented in Python.