Language-to-Logical-Form-JULIA

This is the Julia implementation of the paper above.

It implements the four methods mentioned in the paper: SEQ2SEQ, SEQ2SEQ with Attention, SEQ2TREE, SEQ2TREE with Attention.

To run the code, open the notebook files and write the path to the training and test data.

Dropout value should be set to 0.4 for the GEO and JOBS datasets and 0.3 for the ATIS dataset.

Datasets can be downloaded via the following links:

SEQ2SEQ

SEQ2TREE

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
README.md		README.md
baseline.jl		baseline.jl
seq2seq.ipynb		seq2seq.ipynb
seq2seqwithAttn.ipynb		seq2seqwithAttn.ipynb
seq2tree.ipynb		seq2tree.ipynb
seq2treewithattn.ipynb		seq2treewithattn.ipynb
util.jl		util.jl

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