[PDF] Top 20 Deep Neural Solver for Math Word Problems
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Deep Neural Solver for Math Word Problems
... applying deep learning to the task of math word problem ...in neural machine translation (N- MT) Bahdanau et ...and neural responding machine (NRM) Shang et ...t neural networks ... See full document
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Designing a Tag-Based Statistical Math Word Problem Solver with Reasoning and Explanation
... The main problem of the rule-based approaches mentioned above is that the coverage rate problem is serious, as rules with wide coverage are difficult and expensive to construct. Also, since they adopt Go/No-Go approach ... See full document
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Designing a Tag-Based Statistical Math Word Problem Solver with Reasoning and Explanation
... which word classes inherit attributes from those classes above them on a verb hierarchy (Dellarosa, ...format word problems with multi-step arithmetic through splitting one single sentence into two ... See full document
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Development of a Data-Driven Analysis Framework for Boiling Problems with Multiphase-CFD Solver.
... using deep feedforward neural networks ...the deep network trained with local flow features have good generalization property and thus can be trusted to be extended to unknown ...the deep ... See full document
152
Tree structured Decoding for Solving Math Word Problems
... recurrent neural networks (RNNs) based seq2tree for semantic parsing and out performed the seq2seq ...recurrent neural networks to predict tree topology ...tion neural networks (CNNs) were used for ... See full document
10
Towards Generating Math Word Problems from Equations and Topics
... A math word problem is a narrative with a specific topic that provides clues to the cor- rect equation with numerical quantities and variables ...generating math word prob- ...novel ... See full document
10
MathQA: Towards Interpretable Math Word Problem Solving with Operation Based Formalisms
... the problems are near-duplicates with slight changes to the math word problem stories or nu- merical values since they are expanded from a set of 30,000 seed problems through crowdsourcing ... See full document
11
Semantically Aligned Equation Generation for Solving and Reasoning Math Word Problems
... Solving math word problems is a challeng- ing task that requires accurate natural language understanding to bridge natural language texts and math ...a neural approach to automatically ... See full document
13
A Tag based English Math Word Problem Solver with Understanding, Reasoning and Explanation
... Previous English MWP solvers can be classified into three categories: (1) Rule-based approaches with logic inference (Bobrow, 1964; Slagle, 1965), which apply rules to get the answer (via identifying entities, ... See full document
5
Template-Based Math Word Problem Solvers with Recursive Neural Networks
... The equation set problems are more challenging as they involve multiple unknown variables to resolve. In (Kush- man et al. 2014), a template-based solution was proposed. Given a corpus of predefined equation sets ... See full document
8
Modeling Intra Relation in Math Word Problems with Different Functional Multi Head Attentions
... The core idea is to leverage the immense capac- ity of neural networks to strengthen the process of equation generating. Compared to statistical machine learning-based methods (Kushman et al., 2014; Mitra and ... See full document
6
Illinois Math Solver: Math Reasoning on the Web
... arithmetic word problem solver on three publicly available datasets – addition sub- traction problems from AI2 dataset (AI2) (Hosseini et ...operation problems from Illi- nois dataset (IL)(Roy ... See full document
5
A Meaning Based Statistical English Math Word Problem Solver
... number word problem, which only deal with numbers, with a semantic ...of problems, including Part-Whole, Change and ...braic word problems, and required a very large ... See full document
11
A Meaning based English Math Word Problem Solver with Understanding, Reasoning and Explanation
... Currently, the MWP solver assumes that the final answer can be directly obtained from those known quantity facts via only one arithmetic operation (i.e., merely handling one-step MWPs). It can- not solve the ... See full document
5
Explanation Generation for a Math Word Problem Solver
... Facts Generation in Figure 3(a) shows how the body text is transformed into meaningful logic facts to perform inference. In math problems, the facts are mostly related to quantities. The generated facts are ... See full document
7
Word Alignment Modeling with Context Dependent Deep Neural Network
... with word alignment. As we do not have a large manually word aligned corpus, we use traditional word alignment models such as HMM and IBM model 4 to generate word align- ment on a large ... See full document
10
How well do Computers Solve Math Word Problems? Large Scale Dataset Construction and Evaluation
... We split our dataset into a development set and an evaluation set. The development set is used for algorithm design and debugging, while the evalu- ation set is for training and testing. Any problem in the evaluation set ... See full document
10
A Theme Rewriting Approach for Generating Algebra Word Problems
... Implementation Details We pre-process the themes using the Stanford CoreNLP tools (Man- ning et al., 2014) for tokenization, Named Entity Recognition (Finkel et al., 2005), and dependency parsing (Chen and Manning, ... See full document
12
MAWPS: A Math Word Problem Repository
... tion problems by learning to categorize verbs for the purpose of updating a world representation de- rived from the problem ...arithmetic word problem templates as equa- tion trees and introduce a method ... See full document
6
Neural Networks and Spelling Features for Native Language Identification
... We apply resnets with four residual blocks. Each residual block contains two successive one- dimensional convolutions, with a kernel size and stride of 2. Each such block is followed by an average pooling layer and ... See full document
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