Search Results for author:
Found 2 papers, 0 papers with code
An Efficient Architecture for Predicting the Case of Characters using Sequence Models
Since truecasing acts as a preprocessing step in several applications, every increment in the F1 score leads to a significant improvement in the language processing tasks.
On-Device User Intent Prediction for Context and Sequence Aware Recommendation
Through a neighborhood searching method followed by a sequence matching algorithm, we search for the most relevant node to make the prediction.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
