NLP Seq2seq Model with an Attentive Encoder-Decoder Architecture for Article Title Generation

An attentional seq2seq encoder-decoder model trained to generate article titles based on their abstracts

The repository includes:

1. a paper written for the project including the latex source
2. code used in the project including, but not limited to: a. pytorch implementation of the model b. jupyter notebook used for acquiring the data c. jupyter notebook used for training, validation and testing
3. model predictions on the validation and test sets