Keras seq2seq word-level model implementation by wanzeyu

Overview

Keras implementation for seq2seq

In this project I try to implement seq2seq word level model using keras.

Resource Used:

1. MSRP paraphrase corpus

Requirements:

1. Keras
2. Numpy

The reason I open this repo

• The official tutorial about implementing seq2seq model is character level. But word level implementation is common.

QuickStart

python basic_seq2seq.py

Resource

• test_source.txt original sentence
• test_target.txt translation sentence
• train_vocab.txt vocabulary

Problems

1. The inference function has some problems

Progress

• Write the evaluation code
• Add Attention function
• Using Bidirectional LSTM in encoder
• Implementing Joint Copying and Restricted Generation for Paraphrase

References

• A ten-minute introduction to sequence-to-sequence learning in Keras
• Joint Copying and Restricted Generation for Paraphrase