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How Efficiency Shapes Human Language
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In: https://hal.archives-ouvertes.fr/hal-03552539 ; 2022 (2022)
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When classifying grammatical role, BERT doesn't care about word order... except when it matters ...
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Grammatical cues are largely, but not completely, redundant with word meanings in natural language ...
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When Classifying Arguments, BERT Doesn't Care About Word Order. Except When It Matters
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Efficient communication and the organization of the lexicon
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In: OUP volume on the Mental Lexicon ; https://hal.archives-ouvertes.fr/hal-03482414 ; OUP volume on the Mental Lexicon, In press, ⟨10.31234/osf.io/4an6v⟩ (2021)
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Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP ...
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A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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Deep Subjecthood: Higher-Order Grammatical Features in Multilingual BERT ...
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Multilingual BERT, Ergativity, and Grammatical Subjecthood ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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Abstract:
Cryptic crosswords, the dominant crossword variety in the UK, are a promising target for advancing NLP systems that seek to process semantically complex, highly compositional language. Cryptic clues read like fluent natural language but are adversarially composed of two parts: a definition and a wordplay cipher requiring character-level manipulations. Expert humans use creative intelligence to solve cryptics, flexibly combining linguistic, world, and domain knowledge. In this paper, we make two main contributions. First, we present a dataset of cryptic clues as a challenging new benchmark for NLP systems that seek to process compositional language in more creative, human-like ways. After showing that three non-neural approaches and T5, a state-of-the-art neural language model, do not achieve good performance, we make our second main contribution: a novel curriculum approach, in which the model is first fine-tuned on related tasks such as unscrambling words. We also introduce a challenging data split, examine ... : Please see the github repository, github.com/jsrozner/decrypt. ...
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Keyword:
compositional; crossword; cryptic; NLP
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URL: https://zenodo.org/record/5606058 https://dx.doi.org/10.5281/zenodo.5606058
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Decrypting cryptic crosswords: Semantically complex wordplay puzzles as a target for NLP ...
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A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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REPLICATING A FUNDAMENTAL FINDING IN PSYCHOLINGUISTICS: SYNTACTIC PRIMING ...
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How (Non-)Optimal is the Lexicon?
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In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021)
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