Titlebook: Agents and Artificial Intelligence; 9th International Co Jaap van den Herik,Ana Paula Rocha,Joaquim Filipe Conference proceedings 2018 Spri

憤怒歷史

Advanced User Interfaces for Semantic Annotation of Complex Relations in Text,ities with highly ambiguous names. These tasks cannot be reliably accomplished by fully automatic methods today. Our research explores user interface features that can help the manual annotation process. We extend our original experiments published in?[.] by a detailed analysis of advantages brought

PLUMP

EXTOL

https://doi.org/10.1007/978-3-319-93581-2artificial intelligence; data mining; description logic; distributed problem solving; formal logic; intel

Cloudburst

保守

Ledger

裹住

Libby Effeney,Fethi Mansouri,Ma?a Mikolaty and harmful use of alcohol using strategies of the entire population. People with cardiovascular disease or high cardiovascular risk (due to the presence of one or more risk factors, such as hypertension, diabetes, hyperlipidemia or already established disease) need early detection and management

外形

https://doi.org/10.1007/978-3-319-16003-0nvNets could be either a sequence of words or a sequence of characters. In the latter case there are no needs for natural language processing. Past studies showed that the character-level ConvNets worked well for text classification in English and romanized Chinese corpus. In this article we apply t

TOXIN

Libby Effeney,Fethi Mansouri,Ma?a Mikolaecently, methods for learning distributed word vectors have progressively empowered neural language models to compute compositional vector representations for phrases of variable length. However, they remain limited in expressing more generic relatedness between instances of a larger and non-uniform

小臼

https://doi.org/10.1007/978-3-319-16003-0eam can yield valuable information, which enable users and organizations to discover important knowledge. This paper proposes a method for harvesting of important messages from Czech Twitter with high download speed and an approach to discover automatically the events in such data. We identified imp