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About Deep Contextualized Word Representation
This document introduces ELMo (Embeddings from Language Models) representations, which are deep contextual word representations learned from the internal states of a pretrained bidirectional language model. The ELMo representations model both complex characteristics of word use through context and how these uses vary across contexts. The representations significantly improve performance on six NLP tasks when added to existing models. Lower LSTM layers capture syntactic information while higher layers capture semantic and sense information.
Detailed Information
| Author: | ['Weirliam John'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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