Integrating Heterogeneous Graphs Using Graph Transformer Encoder for Solving Math Word Problems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257571
Abstract: This paper introduces a novel method that integrates structural information with training deep neural models to solve math word problems. Prior works adopt the graph structure to represent rich information residing in the input sentences.… read more here.
Keywords: heterogeneous graphs; graph; transformer encoder; math word ... See more keywords
Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3265173
Abstract: Since math word problem (MWP) solving aims to transform natural language problem description into executable solution equations, an MWP solver needs to not only comprehend the real-world narrative described in the problem text but also… read more here.
Keywords: problem; template based; distillation; word problem ... See more keywords
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3272114
Abstract: Automatically solving math word problems (MWPs) is a challenging task for artificial intelligence (AI) and machine learning (ML) research, which aims to answer the problem with a mathematical expression. Many existing solutions simply model the… read more here.
Keywords: solver; math; math word; word problems ... See more keywords