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Learning to Automatically Solve Algebra Word Problems
Nate Kushman
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Yoav Artzi
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Luke Zettlemoyer
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Regina Barzilay
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
Neural Math Word Problem Solver with Reinforcement Learning
Danqing Huang
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Jing Liu
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Chin-Yew Lin
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Jian Yin
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Learning to Solve Arithmetic Word Problems with Verb Categorization
Mohammad Javad Hosseini
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Hannaneh Hajishirzi
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Oren Etzioni
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Nate Kushman
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evision PDF of 'Modeling Biological Processes for Reading Comprehension
Jonathan Berant
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Vivek Srikumar
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Pei-Chun Chen
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Abby Vander Linden
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Brittany Harding
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Brad Huang
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Peter Clark
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Christopher D. Manning
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Language Understanding for Text-based Games using Deep Reinforcement Learning
Karthik Narasimhan
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Tejas Kulkarni
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Regina Barzilay
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Learn to Solve Algebra Word Problems Using Quadratic Programming
Lipu Zhou
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Shuaixiang Dai
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Liwei Chen
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Learning to Automatically Solve Logic Grid Puzzles
Arindam Mitra
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Chitta Baral
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Solving Geometry Problems: Combining Text and Diagram Interpretation
Minjoon Seo
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Hannaneh Hajishirzi
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Ali Farhadi
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Oren Etzioni
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Clint Malcolm
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Solving General Arithmetic Word Problems
Subhro Roy
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Dan Roth
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Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems
Shyam Upadhyay
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Ming-Wei Chang
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Kai-Wei Chang
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Wen-tau Yih
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Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding
Huazheng Wang
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Fei Tian
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Bin Gao
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Chengjieren Zhu
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Jiang Bian
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Tie-Yan Liu
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A Theme-Rewriting Approach for Generating Algebra Word Problems
Rik Koncel-Kedziorski
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Ioannis Konstas
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Luke Zettlemoyer
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Hannaneh Hajishirzi
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SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
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Jian Zhang
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Konstantin Lopyrev
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Percy Liang
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From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems
Mrinmaya Sachan
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Kumar Dubey
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Eric Xing
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Deep Neural Solver for Math Word Problems
Yan Wang
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Xiaojiang Liu
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Shuming Shi
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Textual Analogy Parsing: What’s Shared and What’s Compared among Analogous Facts
Matthew Lamm
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Arun Chaganty
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Christopher D. Manning
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Dan Jurafsky
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Percy Liang
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Translating a Math Word Problem to a Expression Tree
Lei Wang
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Yan Wang
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Deng Cai
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Dongxiang Zhang
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Xiaojiang Liu
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Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems
Shyam Upadhyay
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Ming-Wei Chang
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Question-Answering with Logic Specific to Video Games
Corentin Dumont
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Ran Tian
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Kentaro Inui
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Semantics-based Graph Approach to Complex Question-Answering
Tomasz Jurczyk
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Jinho D. Choi
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MAWPS: A Math Word Problem Repository
Rik Koncel-Kedziorski
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Subhro Roy
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Aida Amini
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Nate Kushman
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Hannaneh Hajishirzi
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A Tag-based English Math Word Problem Solver with Understanding, Reasoning and Explanation
Chao-Chun Liang
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Kuang-Yi Hsu
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Chien-Tsung Huang
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Chung-Min Li
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Shen-Yu Miao
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Keh-Yih Su
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A Meaning-Based Statistical English Math Word Problem Solver
Chao-Chun Liang
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Yu-Shiang Wong
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Yi-Chung Lin
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Keh-Yih Su
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CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension
Simon Šuster
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Walter Daelemans
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How well do Computers Solve Math Word Problems? Large-Scale Dataset Construction and Evaluation
Danqing Huang
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Shuming Shi
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Chin-Yew Lin
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Jian Yin
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Wei-Ying Ma
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Learning To Use Formulas To Solve Simple Arithmetic Problems
Arindam Mitra
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Chitta Baral
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Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
Wang Ling
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Dani Yogatama
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Chris Dyer
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Phil Blunsom
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Learning Semantic Correspondences in Technical Documentation
Kyle Richardson
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Jonas Kuhn
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Using Intermediate Representations to Solve Math Word Problems
Danqing Huang
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Jin-Ge Yao
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Chin-Yew Lin
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Qingyu Zhou
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Jian Yin
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Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers
Georgios Spithourakis
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Sebastian Riedel
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Parsing Algebraic Word Problems into Equations
Rik Koncel-Kedziorski
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Hannaneh Hajishirzi
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Ashish Sabharwal
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Oren Etzioni
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Siena Dumas Ang
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Learning to Make Inferences in a Semantic Parsing Task
Kyle Richardson
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Jonas Kuhn
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Mapping to Declarative Knowledge for Word Problem Solving
Subhro Roy
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Dan Roth
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Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks
Mrinmaya Sachan
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Eric Xing
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Reference Resolution in Situated Dialogue with Learned Semantics
Xiaolong Li
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Kristy Boyer
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Natural Language Programing with Automatic Code Generation towards Solving Addition-Subtraction Word Problems
Sourav Mandal
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Sudip Kumar Naskar
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Reasoning with Sets to Solve Simple Word Problems Automatically
Sowmya S Sundaram
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Deepak Khemani
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http://groups.csail.mit.edu/rbg/code/
https://code.google.com/p/efficient
Field Of Study
Task
Semantic Parsing
Information Extraction
Question Answering
Machine Translation
Approach
Semi-supervised Learning
Language
English
Dataset
Twitter
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