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Mostrando ítems 1-6 de 6
Artículo
A deep-learning approach to mining conditions
(ScienceDirect, 2020-04)
A condition is a constraint that determines when a consequent holds. Mining them in text is paramount to understand many sentences properly. In the literature, there are a few pattern-based proposals that fall short regarding ...
Ponencia
Feeding Software Agents with Web Information
(Springer, 2015)
Many software agents require information that is available in web documents. Unfortunately, the existing proposals to learn extrac tion rules are tightly coupled with the learning component and do not result in resilient ...
Artículo
An encoder–decoder approach to mine conditions for engineering textual data
(ScienceDirect, 2020-05)
Data engineering seeks to support artificial intelligence processes that extract knowledge from raw data. Many such data are rendered in natural language from which entity-relation extractors extract facts and opinion ...
Ponencia
On Member Labelling in Social Networks
(Springer, 2015)
Software agents are increasingly used to search for experts, recommend resources, assess opinions, and other similar tasks in the context of social networks, which requires to have accurate information that describes the ...
Artículo
Representative datasets for neural networks
(Elsevier, 2018)
Neural networks present big popularity and success in many fields. The large training time process problem is a very important task nowadays. In this paper, a new approach to get over this issue based on reducing dataset ...
Artículo
A neural network for semantic labelling of structured information
(Elsevier, 2020-04-01)
Intelligent systems rely on rich sources of information to make informed decisions. Using information from external sources requires establishing correspondences between the information and known information classes. This ...