We present the Berkeley Crossword Solver, a state-of-the-art approach for automatically
solving crossword puzzles. Our system works by generating answer candidates for each …

Current NLP datasets targeting ambiguity can be solved by a native speaker with relative
ease. We present Cryptonite, a large-scale dataset based on cryptic crosswords, which is …

Although the development of AI in games is remarkable, intelligent machines still lag behind
humans in games that require the ability of language understanding. In this paper, we focus …

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 …

Abstract Automatic resolution of Crossword Puzzles (CPs) heavily depends on the quality of
the answer candidate lists produced by a retrieval system for each clue of the puzzle grid …

Crossword clues represent an extremely challenging form of Question Answering, due to
their intentional ambiguity. Databases of previously answered clues are a vital source for the …

In this paper, we present our Crossword Puzzle Resolution System (SACRY), which exploits
syntactic structures for clue reranking and answer extraction. SACRY uses a database (DB) …

Solving crossword puzzles requires diverse reasoning capabilities, access to a vast amount
of knowledge about language and the world, and the ability to satisfy the constraints …

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 …

Chinese character riddle is a riddle game in which the riddle solution is a single Chinese
character. It is closely connected with the shape, pronunciation or meaning of Chinese …