| Seznam |
| Téma: | Sentence pair similarity. |
|---|---|
| Vedoucí: | Jan Sedivy; Garant: |
| Vypsáno jako: | Diplomová práce,Bakalářská práce,Práce v týmu a její organizace |
| Popis: | People produce a lot of text every day on the Internet. We need to teach machines to understand the natural language. The computers will help us search or ask questions about the content. One way of doing it is to tell the machine meaning of a sentence and then train a model recognizing similar sentences. Respectively the task is to create a model measuring the semantic similarity of sentences. We can such model not only for recognizing similar phrases but also for finding the next utterance for dialogue or finding the correct answer to the given question. |
| Pokyny: | Instructions
Select a domain From the selected domain generate pairs of similar sentence, for example question answer or event and response in a dialog Review the latest LSTM, GRU neural networks architectures Train a first model Optimize the architecture and meta parameters to achieve the lowest error rate |
| Literatura: | https://arxiv.org/abs/1603.06127 |
| Vypsáno dne: | 22.02.2017 |
| Max. počet studentů: | 0 |
| Přihlášení studenti: | |