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# Math Word Problem Solving Edit

2 papers with code ยท Reasoning

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# MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

We introduce a new representation language to model operation programs corresponding to each math problem that aim to improve both the performance and the interpretability of the learned models.

# Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems

Solving math word problems is a challenging task that requires accurate natural language understanding to bridge natural language texts and math expressions.

# MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

We introduce a new representation language to model precise operation programs corresponding to each math problem that aim to improve both the performance and the interpretability of the learned models.

# An Improved Coarse-to-Fine Method for Solving Generation Tasks

The methods first generate a rough sketch in the coarse stage and then use the sketch to get the final result in the fine stage.

# Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems

Solving math word problems is a challenging task that requires accurate natural language understanding to bridge natural language texts and math expressions.

# Translating a Math Word Problem to a Expression Tree

Moreover, we analyze the performance of three popular SEQ2SEQ models on the math word problem solving.

# Neural Math Word Problem Solver with Reinforcement Learning

Experimental results show that (1) The copy and alignment mechanism is effective to address the two issues; (2) Reinforcement learning leads to better performance than maximum likelihood on this task; (3) Our neural model is complementary to the feature-based model and their combination significantly outperforms the state-of-the-art results.

# Using Intermediate Representations to Solve Math Word Problems

To solve math word problems, previous statistical approaches attempt at learning a direct mapping from a problem description to its corresponding equation system.

# Learning Fine-Grained Expressions to Solve Math Word Problems

This method learns the mappings between math concept phrases in math word problems and their math expressions from training data.

# Deep Neural Solver for Math Word Problems

This paper presents a deep neural solver to automatically solve math word problems.