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Unit
 
 
cilin_jieba_data
 
 
data
 
 
hownet
 
 
multiword
 
 
.gitignore
 
 
KAS2T_data.zip
 
 
LICENSE
 
 
README.md
 
 
all_word_list.txt
 
 
cilin_edge.py
 
 
evaluate.py
 
 
expressions_transfer.py
 
 
get_vocab.py
 
 
label_word.txt
 
 
masked_cross_entropy.py
 
 
models.py
 
 
models.pyc
 
 
pre_data.py
 
 
run_seq2tree.py
 
 
seq2tree.py
 
 
test.py
 
 
train_and_evaluate.py
 
 
Requirement Train the model. Evaluate the model.

README.md

A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving, In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16-20, 2020.

Requirement

  • Python2.7
  • Pytorch 1.1.0
  • numpy
  • nltk
  • hownet
  • cilin

Train the model.

python run_seq2tree.py

Evaluate the model.

python evaluate.py

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GPL-3.0 license

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