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- W269733576 abstract "In this paper, we study methods for improving the quality of automatic extraction of answer candidates for automatic resolution of crossword puzzles (CPs), which we set as a new IR task. Since automatic systems use databases containing previously solved CPs, we define a new effective approach consisting in querying the database (DB) with a search engine for clues that are similar to the target one. We rerank the obtained clue list using state-of-the-art methods and go beyond them by defining new learning to rank approaches for aggregating similar clues associated with the same answer." @default.
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- W269733576 date "2015-01-01" @default.
- W269733576 modified "2023-10-18" @default.
- W269733576 title "Learning to Rank Aggregated Answers for Crossword Puzzles" @default.
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- W269733576 doi "https://doi.org/10.1007/978-3-319-16354-3_61" @default.
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