Papers Math Word Problem Solving
“Math Word Problem Solving” 태그가 달린 논문 107편 · 필터 해제
ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler
Numerical reasoning over text is a challenging task of Artificial Intelligence (AI), requiring reading comprehension and numerical reasoning abilities. Previous approaches use numerical reasoning programs to represent th…
Math Word Problem SolvingQuestion AnsweringReading ComprehensionImproving Compositional Generalization in Math Word Problem Solving
Compositional generalization refers to a model's capability to generalize to newly composed input data based on the data components observed during training. It has triggered a series of compositional generalization anal…
Data AugmentationMathMath Word Problem SolvingSolving Quantitative Reasoning Problems with Language Models
Language models have achieved remarkable performance on a wide range of tasks that require natural language understanding. Nevertheless, state-of-the-art models have generally struggled with tasks that require quantitati…
Arithmetic ReasoningLanguage ModelingLanguage ModellingLarge Language Model+3Large Language Models are Zero-Shot Reasoners
Pretrained large language models (LLMs) are widely used in many sub-fields of natural language processing (NLP) and generally known as excellent few-shot learners with task-specific exemplars. Notably, chain of thought (…
Arithmetic ReasoningCommon Sense ReasoningDate UnderstandingFew-Shot Learning+3LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning
Recently, deep learning models have made great progress in MWP solving on answer accuracy. However, they are uninterpretable since they mainly rely on shallow heuristics to achieve high performance without understanding …
MathMath Word Problem SolvingEPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers
In this paper, we propose a neural model EPT-X (Expression-Pointer Transformer with Explanations), which utilizes natural language explanations to solve an algebraic word problem. To enhance the explainability of the enc…
MathMath Word Problem SolvingLearning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction
Solving math word problems requires deductive reasoning over the quantities in the text. Various recent research efforts mostly relied on sequence-to-sequence or sequence-to-tree models to generate mathematical expressio…
MathMath Word Problem SolvingRelationRelational Reasoning+1MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
Math word problem (MWP) solving faces a dilemma in number representation learning. In order to avoid the number representation issue and reduce the search space of feasible solutions, existing works striving for MWP solv…
Language ModelingLanguage ModellingMathMath Word Problem Solving+2Towards Interpretable Math Word Problem Solving with Grounded Linguistic Logic Reasoning
Automatically math word problem (MWP) solving is a challenging artificial intelligence task since a machine should be able to not only understand problem comprehensively on linguistics but also the grounded math logic e…
MathMath Word Problem SolvingAn Edge-Enhanced Hierarchical Graph-to-Tree Network for Math Word Problem Solving
Math word problem solving has attracted considerable research interest in recent years. Previous works have shown the effectiveness of utilizing graph neural networks to capture the relationships in the problem. However,…
DecoderMathMath Word Problem SolvingSentenceIconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning
Current visual question answering (VQA) tasks mainly consider answering human-annotated questions for natural images. However, aside from natural images, abstract diagrams with semantic richness are still understudied in…
Arithmetic ReasoningMathematical Question AnsweringMathematical ReasoningMath Word Problem Solving+4Recall and Learn: A Memory-augmented Solver for Math Word Problems
In this article, we tackle the math word problem, namely, automatically answering a mathematical problem according to its textual description. Although recent methods have demonstrated their promising results, most of th…
MathMath Word Problem SolvingAdversarial Examples for Evaluating Math Word Problem Solvers
Standard accuracy metrics have shown that Math Word Problem (MWP) solvers have achieved high performance on benchmark datasets. However, the extent to which existing MWP solvers truly understand language and its relation…
Adversarial RobustnessMathMath Word Problem SolvingSentenceGenerate & Rank: A Multi-task Framework for Math Word Problems
Math word problem (MWP) is a challenging and critical task in natural language processing. Many recent studies formalize MWP as a generation task and have adopted sequence-to-sequence models to transform problem descript…
Language ModelingLanguage ModellingMathMath Word Problem SolvingMWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers
Developing automatic Math Word Problem (MWP) solvers has been an interest of NLP researchers since the 1960s. Over the last few years, there are a growing number of datasets and deep learning-based methods proposed for e…
MathMath Word Problem SolvingMath Word Problem Solving with Explicit Numerical Values
In recent years, math word problem solving has received considerable attention and achieved promising results, but previous methods rarely take numerical values into consideration. Most methods treat the numerical values…
MathMath Word Problem SolvingMWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving
Math word problem (MWP) solving faces a dilemma in number representation learning. In order to avoid the number representation issue and reduce the search space of feasible solutions, existing works striving for MWP solv…
Common Sense ReasoningLanguage ModelingLanguage ModellingMath+3Are NLP Models really able to Solve Simple Math Word Problems?
The problem of designing NLP solvers for math word problems (MWP) has seen sustained research activity and steady gains in the test accuracy. Since existing solvers achieve high performance on the benchmark datasets for …
MathMath Word Problem SolvingMath Word Problem SolvingΩMeasuring Mathematical Problem Solving With the MATH Dataset
Many intellectual endeavors require mathematical problem solving, but this skill remains beyond the capabilities of computers. To measure this ability in machine learning models, we introduce MATH, a new dataset of 12,50…
MathMathematical Problem-SolvingMathematical ReasoningMath Word Problem Solving+1Generating Equation by Utilizing Operators : GEO model
Math word problem solving is an emerging research topic in Natural Language Processing. Recently, to address the math word problem-solving task, researchers have applied the encoder-decoder architecture, which is mainly …
DecoderMachine TranslationMathMath Word Problem Solving+2