Apr 16, 2024 · We propose a novel multi-view graph learning-to-tree model with dual-strategy (MVG-DS-T), in which it performs adaptive and consistent multi-view ...
We propose a novel multi-view graph learning-to-tree model with dual-strategy (MVG-DS-T), in which it performs adaptive and consistent multi-view ...
Jul 17, 2024 · Recently, graph-based deep learning models have exhibited remarkable performance in generating solution expressions for the math word ...
Jun 3, 2024 · In this paper we show that these tasks can be performed in polynomial time, solving a long-standing open problem in this area. Our algorithms ...
A multi-view graph learning model with dual strategies for solving math word problems. https://doi.org/10.1016/j.neucom.2024.127674 ·. Journal: Neurocomputing ...
Sep 13, 2024 · Consequently, the task of solving mathematical problems is modeled as a "translation" problem within a Sequence-to-Sequence (Seq2Seq) ...
Jul 16, 2023 · Our strategy of view transformation serves as an efficient data-utilization method to enhance reasoning generalization, which is achieved by ...
Missing: dual | Show results with:dual
Code for the paper "Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency". License: MIT license. 18 stars. 2 forks.
Missing: solving math problems.
In this paper, we propose a template-based solution based on recursive neural network for math expression construction. More specifically, we first apply a ...
Graph-to-Tree Learning for Solving Math Word Problems | CoLab
colab.ws › articles › 2020.acl-main.362
... multi-view graph learning model with dual strategies for solving math word problems. Wang Z., Lang Q., Liu X., Jing W. Q1. Elsevier. Neurocomputing , 2024 ...