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# System prepended metadata

title: Primary math ref
tags: [Primary math ref]

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tags: Primary math ref
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# Primary math ref

### 2020
#### A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers (ACL-20)
- [2015] (**LCA++**) Solving general arithmetic word problems
	- statistical model
- [2017] (**UnitDep**) Unit Dependency Graph and its Application to Arithmetic Word Problem Solving
	- statistical model
- [2019] (**GTS**) A Goal-Driven Tree-Structured Neural Model for Math Word Problems
	- neural network model
	- two-layer gate-feed-forward networks

#### Graph-to-Tree Learning for Solving Math Word Problems (ACL-20)
- :one: [2017] (**DNS**) Deep neural solver for math word problems
    - Seq2Seq +DNS
    - Hybrid +(DNS、TRNN)
- [2018] (**Math-EN**) Translating a math word problem to a expression tree
	- equation normalization to reduce target space
- :three: [2019] (**T-RNN**) Template-based math word problem solvers with recursive neural networks
	- recursive neural networks + predicted tree-structure templates
- :five: [2019] (**S-Aligned**) Semantically-aligned equation generation for solving and reasoning math word problems
	- designs the decoder with a stack to track the semantic meanings of operands
- [2019] (**GROUP-ATT**) Modeling intra-relation in math word problems with different functional multi-head attentions
	-  borrows the idea of multihead attentions from Transformer
- [2019] (**AST-Dec**) Tree-structured decoding for solving math word problems
	- creates an expression tree with a tree LSTM decoder
- :four: [2019] (**GTS**) A goal-driven tree-structured neural model for math word problems
	-  develops a tree structured neural networks in a goal-driven manner to generate expression trees
- [2019] (**IRE**) Inter-sentence relation extraction with document-level graph convolutional neural network
	- first proposed in relation extraction and has something in common with Graph-to-Tree Learning


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### 2019
#### Template-Based Math Word Problem Solvers with Recursive Neural Networks (AAAI-19) :three:
- :zero: [2016] How well do computers solve math word problems? large-scale dataset construction and evaluation
    - Retrieval +(Jaccard、Cosine)
- :one: [2017] Deep neural solver for math word problems
    - Seq2Seq +DNS
    - Hybrid +(DNS、TRNN)
- :two: [2018] Data-driven methods for solving algebra word problems
    - Seq2Seq +(LSTM、CNN): **baseline**
    - Classification +(Bi-LSTM、Selt-Att)
- [2018, 作者] MathDQN: Solving arithmetic word problems via deep reinforcement learning
    - Deep RL +MathDQN

#### A Goal-Driven Tree-Structured Neural Model for Math Word Problems (IJCAI-19) :four:
- :one: [2017] Deep neural solver for math word problems
    - Hybrid model w/SNI: **baseline**
- [2018] Translating math word problem to expression tree
    - Ensemble model w/EN: **baseline**

#### Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems (NAACL-19) :five:
- :zero: [2016] How well do computers solve math word problems? large-scale dataset construction and evaluation
    - Retrieval +(Jaccard、Cosine)
- :one: [2017] Deep neural solver for math word problems
    - Hybrid+DNS+Retrieval
- :two: [2018] Data-driven methods for solving algebra word problems
    - Classification +(Bi-LSTM、Selt-Att)

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### 2018

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### Before 2018
#### A Tag-based English Math Word Problem Solver with Understanding, Reasoning and Explanation (NAACL-16)
-  Rule
    -  [2014] Learning to Solve Arithmetic Word Problems with Verb Categorization
-  Purely statistical
    -  [2014] Learning to Automatically Solve Algebra Word Problems

#### Designing a Tag-Based Statistical Math Word Problem Solver with Reasoning and Explanation (ROCLING/IJCLCLP-15)
-  paper裡只有列出ref
-  Rule-based approaches with logic inference
    - [1964] Natural language input for a computer problem solving system
    - [1965] Experiments with a deductive question-answering program
    - [1968] A program which solves calculus word problems
    - [1969] Computer solution of calculus word problems
    - [1986] A computer simulation of children's arithmetic word-problem solving
    - [2007] Robust Understanding of Word Problems With Extraneous Information
-  Rule-based approaches without logic inference
    - [1971] Experiments with a natural language problem solving system
    - [1979] Programming in natural language: “NLC” as a prototype
    - [1980] Toward Natural Language Computation American Journal of Computational Linguistic
    - [1982] Interactive Natural Language Problem Solving: A Pragmatic Approach
    - [1985] Understanding and solving arithmetic word problems: A computer simulation
    - [2014] Learning to Solve Arithmetic Word Problems with Verb Categorization
-  Purely statistics-based approaches
    - [2014] Learning to Automatically Solve Algebra Word Problems
    - [2015] Reasoning about Quantities in Natural Language
#### A Meaning-Based Statistical English Math Word Problem Solver (NAACL2018)
* Learning to solve arithmetic word problems with verb categorization
* Solving General Arithmetic Word Problems
* Unit Dependency Graph and its Application to Arithmetic Word Problem Solving
* Reasoning about quantities in natural language
#### Translating a Math Word Problem to an Expression Tree (EMNLP-18
* Deep neural solver for math word problems
#### Explanation Generation for a Math Word Problem Solver (ROCLING/IJCLCLP-15)
* 無
#### Learning to Automatically Solve Algebra Word Problems (ACL-14)
* 無