Recent advances in language representation using neural networks have made it viable to
transfer the learned internal states of large pretrained language models (LMs) to …

Recent advances in language representation using neural networks have made it viable to
transfer the learned internal states of a trained model to downstream natural language …

Recent advances in language representation using neural networks have made it viable to
transfer the learned internal states of large pretrained language models (LMs) to …

Deep language models, like ELMo, BERT and GPT, have achieved impressive results on
several natural language tasks. These models are pretrained on large corpora of unlabeled …

Purpose: Patent classification is one of the areas in Intellectual Property Analytics (IPA), and
a growing use case since the number of patent applications has been increasing worldwide …

Abstract Named Entity Recognition (NER) is the task of identifying textual elements and
categorizing them into predefined classes, such as names of people, locations …

Abordagens modernas para o Reconhecimento de Entidades Nomeadas (REN) utilizam
Redes Neurais para automaticamente extrair features de textos e as incorporar no processo …

Desde o surgimento do termo Entidade Nomeada (EN) em 1996, a tarefa Reconhecimento
de Entidades Nomeadas (REN) ganhou grande interesse da comunidade de …

Com o crescente avanço tecnológico, as organizações criminosas estão cada vez mais
utilizando a tecnologia para o cometimento de crimes, especialmente o crime de lavagem …