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Found 2 papers, 1 papers with code
Sense representations for Portuguese: experiments with sense embeddings and deep neural language models
We also evaluated the performance of pre-trained deep neural language models (ELMo and BERT) in two transfer learning approaches: feature based and fine-tuning, in the semantic textual similarity task.
Generating Sense Embeddings for Syntactic and Semantic Analogy for Portuguese
Word embeddings are numerical vectors which can represent words or concepts in a low-dimensional continuous space.
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