embeddings
- Sentence Transformers (22 Oct 2023)
How sentence-transformers fine-tune BERT with a siamese network to produce sentence embeddings suited to similarity, covering the training data, the fine-tuning procedure and the evaluation. - Portuguese Word Embeddings (03 Nov 2019)
A survey of the pre-trained word embeddings publicly available for Portuguese, comparing what NILC, LX-DSemVectors, fastText, Wikipedia2Vec and the NLPL repository each offer. - Language Models and Contextualised Word Embeddings (06 Dec 2018)
A review of word embedding methods, from the classic word2vec and GloVe approaches through subword and character-level models, up to contextualised embeddings derived from language models.
retrieval-augmented-generation Haystack viterbi sequence-prediction evaluation-metrics scikit-learn pos-tags named-entity-recognition embeddings conditional-random-fields classification word2vec triplet-loss syntactic-dependencies sentence-transformers relationship-extraction neural-networks information-retrieval fine-tuning coursera conference SyntaxNet NLTK LSTM wikidata transformers tokenization tf-idf text-summarisation semantic-web semantic-drift resources reference-post production portuguese political-science naive-bayes multi-label-classification monitoring mlops metadata-extraction maximum-entropy-markov-models logistic-regression llms language-models information-extraction imbalanced-data hyperparameter-optimization hidden-markov-models grid-search gensim generative-ai fasttext document-classification doc2vec deployment dependency-graph dataset data-challenge convolutional-neural-networks contrastive-learning books attention SPARQL RNN PyData KONVENS GRU