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This project forked from vsuthichai/paraphraser

By utilizing the developer's clean and simple API, users can use this project to perform sentence parsing operations. Visit this page to see an example of this in action. pair-a-phrase It was created as part of the third-year artificial intelligence program at Insight Data Science. Model The model is built on top of a bidirectional LSTM encoder and decoder with attention trained in Tensorflow. Click on the following link to go to the download page: model This project requires Python 3.5 or Tensorflow to be completed successfully. Spherical Inference is available in the library's 1.4.1 version. Immediately after obtaining the model checkpoint via the link provided above, run the following Python inference. Python We combined a large number of publicly available datasets into a single large dataset to generate the training data for this model. Para-nmt-5m and para-nmt-6m are two examples. You will be asked to respond to two Quora questions today. The Semeval National Labor Institute (SNLI) is abbreviated as "Semeval National Labor Institute." In addition, for security reasons, I have removed the aggregated dataset from this repository. If you have any questions or would like to learn more about the program, please do not hesitate to contact me. The pre-trained embeddings used in this study were provided by John Wieting's para-nmt-50m project. Training: The training was carried out on an Nvidia GTX 1080, and the results were evaluated using the BLEU score. On the GPU, two training epochs were completed. The training curves of the tensorboard are depicted in the illustration below. The grey curve represents the train, while the orange curve represents the development.  You should broaden the scope of your investigation by delving deeper. This is demonstrated by the disappearance of a recurring layer. A variety of additions have been made to the data set. It is necessary to consider the residual layer. Model compression modifications Byte pair encoding is used when dealing with non-standard vocabulary.

Home Page: http://pair-a-phrase.it

License: MIT License