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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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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
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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Automated Fact Checking: Task Formulations, Methods and Future Directions
James Thorne
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Andreas Vlachos
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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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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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Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models
Mohammad Taher Pilehvar
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Dimitri Kartsaklis
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Victor Prokhorov
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Nigel Collier
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Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach
Thuy-Trang Vu
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Gholamreza Haffari
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Operation-guided Neural Networks for High Fidelity Data-To-Text Generation
Feng Nie
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Jinpeng Wang
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Jin-Ge Yao
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Rong Pan
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Chin-Yew Lin
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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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Learning with Latent Language
Jacob Andreas
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Dan Klein
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Sergey Levine
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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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https://doi.org/10.18653/v1/P17-1015
https://doi.org/10.18653/v1/P17-1015
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Parsing
Question Answering
Approach
Generative Model
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