Learning to Automatically Solve Algebra Word Problems

@inproceedings{Kushman2014LearningTA,
  title={Learning to Automatically Solve Algebra Word Problems},
  author={Nate Kushman and Luke Zettlemoyer and R. Barzilay and Yoav Artzi},
  booktitle={ACL},
  year={2014}
}
  • Nate Kushman, Luke Zettlemoyer, +1 author Yoav Artzi
  • Published in ACL 2014
  • Computer Science
  • We present an approach for automatically learning to solve algebra word problems. [...] Key Method The learning algorithm uses varied supervision, including either full equations or just the final answers. We evaluate performance on a newly gathered corpus of algebra word problems, demonstrating that the system can correctly answer almost 70% of the questions in the dataset. This is, to our knowledge, the first learning result for this task.Expand Abstract
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    References

    SHOWING 1-10 OF 37 REFERENCES
    Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
    • 750
    • PDF
    Learning Context-Dependent Mappings from Sentences to Logical Form
    • 180
    • PDF
    Semantic Parsing on Freebase from Question-Answer Pairs
    • 982
    • PDF
    Acquiring Word-Meaning Mappings for Natural Language Interfaces
    • 75
    • PDF
    Fast Online Lexicon Learning for Grounded Language Acquisition
    • 32
    • PDF
    Using Semantic Unification to Generate Regular Expressions from Natural Language
    • 82
    • PDF
    Learning for Semantic Parsing with Statistical Machine Translation
    • 268
    • PDF
    Driving Semantic Parsing from the World's Response
    • 225
    • PDF
    Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
    • 295
    • PDF
    Semantic Parsing Freebase: Towards Open-domain Semantic Parsing
    • 38
    • PDF