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Found 7 papers, 1 papers with code
Makadi: A Large-Scale Human-Labeled Dataset for Hindi Semantic Parsing
This has created an asymmetry in progress in NLIDB solutions, with most state-of-the-art efforts focused on the resource-rich English language, with limited progress seen for low resource languages.
Using Learnable Physics for Real-Time Exercise Form Recommendations
Good posture and form are essential for safe and productive exercising.
Targeted Example Generation for Compilation Errors
We present TEGCER, an automated feedback tool for novice programmers.
Effective extractive summarization using frequency-filtered entity relationship graphs
Word frequency-based methods for extractive summarization are easy to implement and yield reasonable results across languages.
A simple model of recognition and recall memory
To test this theory, by manipulating the number of items and cues in a memory experiment, we show a crossover effect in memory performance within subjects such that recognition performance is superior to recall performance when the number of items is greater than the number of cues and recall performance is better than recognition when the converse holds.
Magnitude-sensitive preference formation`
Our understanding of the neural computations that underlie the ability of animals to choose among options has advanced through a synthesis of computational modeling, brain imaging and behavioral choice experiments.
Rational inference of relative preferences
Statistical decision theory axiomatically assumes that the relative desirability of different options that humans perceive is well described by assigning them option-specific scalar utility functions.
