Cryptonite tests NLP models with cryptic crossword clues.
problem Ambiguity in language poses a challenge for NLP models.
method Cryptic crossword dataset based on cryptic clues.
result Fine-tuning T5-Large on Cryptonite achieves only 7.6% accuracy.
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6 results for “Cryptic Crossword”
Conformal Test Martingales can be 'blind' to significant changes in data distribution.
problem The converse of exchangeability does not hold, leading to potential blindness of CTMs.
method Explicit construction of -cryptic change-point using bivariate Gaussian distributions.
result CTMs can be perfectly cryptic to a significant change in marginal means.
The word2vec software of Tomas Mikolov and colleagues (https://code.google.com/p/word2vec/ ) has gained a lot of traction lately, and provides state-of-the-art word embeddings. The learning models behind the software are described in two research papers. We found the description of the models in these papers to be some…
Professional-grade software applications are powerful but complicatedexpert users can achieve impressive results, but novices often struggle to complete even basic tasks. Photo editing is a prime example: after loading a photo, the user is confronted with an array of cryptic sliders like "clarity", "temp", and "high…
A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correctioncs.LG
While linear mixed model (LMM) has shown a competitive performance in correcting spurious associations raised by population stratification, family structures, and cryptic relatedness, more challenges are still to be addressed regarding the complex structure of genotypic and phenotypic data. For example, geneticists hav…
MACER accelerates error repair by modularly identifying and applying fixes.
problem Automated compilation error repair for novice programmers.
method Modular segregation of repair process into identification and application, using discriminative learning techniques.
result MACER outperforms existing methods by 20% on popular errors and is competitive on all error types.