Solving mathematical word problems (MWPs) automatically is challenging, primarily due to
the semantic gap between human-readable words and machine-understandable logics …

The rise of social media offered new channels of communication between a government and
its citizens. The social media channels are interactive, inclusive, low-cost, and …

The present article introduces an extensive approach that effectively addresses math word
problems by leveraging the benefits of operator and intermediate template techniques with …

We present a Russian version of DeepMind Mathematics Dataset. The original dataset is
synthetically generated using inference rules and a set of linguistic templates. We translate …

Building an automatic system to solve Math word problem is very interesting in AI domain.
From last four decades Math word problem takes more attention of the researchers …

This thesis studies to automatically solve Arabic Math Word Problems (MWPs) by deep
learning models. MWP is a text description of a mathematical problem, which should be …

Natural language semantic engineering problems are faced with unknown input and
intensive knowledge challenges. In order to adapt to the features of natural language …

In this paper, the problems, such as engineering model, semantic description, basic
algorithm, heuristic resolving and platform of semantic engineering are discussed. Taking …