Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers

ACL 2018 • 1 code implementation

In this paper, we explore different strategies for modelling numerals with language models, such as memorisation and digit-by-digit composition, and propose a novel neural architecture that uses a continuous probability density function to model numerals from an open vocabulary.

Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples

22 Feb 2018 • 1 code implementation

This paper is under consideration for acceptance in

HANDWRITTEN DIGIT RECOGNITION QUESTION ANSWERING