Reforço e delimitação contextual para reconhecimento de entidades e relações em documentos oficiais
Arquiteturas neurais baseadas em transformers tornaram-se o principal componente de
vários métodos do estado-da-arte em tarefas de processamento de linguagem natural, tais …
vários métodos do estado-da-arte em tarefas de processamento de linguagem natural, tais …
LIFEDATA-A Framework for Traceable Active Learning Projects
Active Learning has become a popular method for iteratively improving data-intensive
Artificial Intelligence models. However, it often presents a significant challenge when …
Artificial Intelligence models. However, it often presents a significant challenge when …
Contextual Reinforcement, Entity Delimitation and Generative Data Augmentation for Entity Recognition and Relation Extraction in Official Documents
Transformer architectures have become the main component of various state-of-the-art
methods for natural language processing tasks, such as Named Entity Recognition and …
methods for natural language processing tasks, such as Named Entity Recognition and …
Enhancing Text Annotation with Few-shot and Active Learning: A Comprehensive Study and Tool Development
I Dhall - 2023 - spectrum.library.concordia.ca
The exponential growth of digital communication channels such as social media and
messaging platforms has resulted in an unprecedented influx of unstructured text data …
messaging platforms has resulted in an unprecedented influx of unstructured text data …
Evaluation of query strategy of active learning for text classification
L Huang - … on Artificial Intelligence, Automation, and High …, 2022 - spiedigitallibrary.org
In many applications, the process of classifying the text document is expensive and time-
consuming. Active Learning can reach the same accuracy with only a part of the dataset. In …
consuming. Active Learning can reach the same accuracy with only a part of the dataset. In …