愤怒历史
发表于 2025-3-23 13:42:53
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
发表于 2025-3-23 16:33:07
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EXTOL
发表于 2025-3-23 18:52:07
https://doi.org/10.1007/978-3-319-93581-2artificial intelligence; data mining; description logic; distributed problem solving; formal logic; intel
Cloudburst
发表于 2025-3-24 00:37:41
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保守
发表于 2025-3-24 04:54:24
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Ledger
发表于 2025-3-24 09:38:40
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裹住
发表于 2025-3-24 12:37:42
Libby Effeney,Fethi Mansouri,Maša 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
发表于 2025-3-24 15:17:14
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
发表于 2025-3-24 21:40:51
Libby Effeney,Fethi Mansouri,Maša 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
发表于 2025-3-24 23:50:27
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