AWD-LSTM-MoS + dynamic evaluation (WT2, 2018)
Peking UniversityMicrosoft Research AsiaLanguage modelingTranslationText classification
AWD-LSTM-MoS + dynamic evaluation (WT2, 2018) is language modeling model published by Peking University,Microsoft Research Asia in 2018 featuring 35000000.0 parameters.
About AWD-LSTM-MoS + dynamic evaluation (WT2, 2018)
Continuous word representation (aka word embedding) is a basic building block in many neural network-based models used in natural language processing tasks. Although it is widely accepted that words with similar semantics should be close to each othe
Details
- Provider
- Peking University,Microsoft Research Asia
- Task
- Language modeling,Translation,Text classification
- Parameters
- 35000000.0
- Released
- 2018-09-18
- Open weights
- No