| Seznam |
| Téma: | Automatic email reply generation |
|---|---|
| Vedoucí: | Jan Sedivy; Garant: |
| Vypsáno jako: | Diplomová práce,Bakalářská práce,Práce v týmu a její organizace |
| Popis: | In this project, we want to research methods for automatic generation of short responses to email or social networks messages. Specifically, on a cell phone, it can be a great advantage to select from a set of semantically diverse replies. We want first cover short messages of few words. The initial steps will include a review of LSTM and GRU neural networks architectures and a meaningful training set construction. |
| Pokyny: | Select a source of messages social media or email and collect a training set.
Review and select recurrent Neural Network for reply generation. Train an NN model. Provide a language model for simple and semantically diverse replies. Write a simple application for the purpose of testing. |
| Literatura: | https://arxiv.org/pdf/1606.04870v1.pdf |
| Vypsáno dne: | 15.02.2017 |
| Max. počet studentů: | 0 |
| Přihlášení studenti: | |