Paper: Learning to Automatically Solve Algebra Word Problems

ACL ID P14-1026
Title Learning to Automatically Solve Algebra Word Problems
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2014

We present an approach for automatically learning to solve algebra word problems. Our algorithm reasons across sentence boundaries to construct and solve a sys- tem of linear equations, while simultane- ously recovering an alignment of the vari- ables and numbers in these equations to the problem text. 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, demon- strating that the system can correctly an- swer almost 70% of the questions in the dataset. This is, to our knowledge, the first learning result for this task.