Embeddings e modelos de linguagem
11 métodos nesta família.
Em destaque
Avaliação Automática de TextoAutomatic text evaluation is a family of reference-based metrics used to measure the quality of machine-generated text — such as translations, summaries, or natural-language-generaEmbeddings BERTBERT-based text embeddings, introduced by Devlin and colleagues at Google AI in 2019, turn text into context-sensitive dense vectors using a bidirectional Transformer encoder. BecaAprendizagem Contrastiva para PLNContrastive learning for NLP is a representation-learning technique — popularised by SimCSE (Gao et al., 2021) and Supervised Contrastive Learning (Khosla et al., 2020) — that traiDoc2VecDoc2Vec, also known as Paragraph Vector, is a representation-learning method introduced by Le and Mikolov (2014) that maps whole documents to fixed-length dense vectors. These vectDetecção de Viés de Gênero em PNLGender bias detection in NLP is a family of statistical and embedding-based methods used to measure stereotyping, representational imbalance, and occupational bias in text corpora GloVe EmbeddingsGloVe (Global Vectors for Word Representation) is a static word-embedding model introduced by Pennington, Socher and Manning (2014) that learns word vectors directly from global wo
Percurso de leitura
Os métodos fundamentais mais referenciados deste tópico, pela ordem em que foram desenvolvidos — um ponto de partida se está a começar agora.