dowagers-hump
发表于 2025-3-27 00:51:29
Extracting Event-Centric Document Collections from Large-Scale Web Archives collections from large scale Web archives. This method relies on a specialized focused extraction algorithm. Our experiments on the German Web archive (covering a time period of 19 years) demonstrate that our method enables the extraction of event-centric collections for different event types.
Gourmet
发表于 2025-3-27 04:03:47
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果仁
发表于 2025-3-27 05:31:42
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储备
发表于 2025-3-27 12:27:44
Automatic Hierarchical Categorization of Research Expertise Using Minimum Information-rank as an effective mean to rank experts with minimum information. Our experiments show that using supervised machine learning methods trained with manually labeled information, it is possible to produce effective classification and ranking models.
debase
发表于 2025-3-27 15:17:31
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Mets552
发表于 2025-3-27 19:37:07
Exploiting Interlinked Research Metadatac.) into a central Information Space. OpenAIRE aims at increasing interoperability and reusability of this data collection by exposing it as Linked Open Data (LOD). By following the LOD principles, it is now possible to further increase interoperability and reusability by connecting the OpenAIRE LOD
CLOUT
发表于 2025-3-28 01:55:20
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endure
发表于 2025-3-28 02:34:25
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沙漠
发表于 2025-3-28 08:21:45
What Should I Cite? Cross-Collection Reference Recommendation of Patents and Papersfferent document types are sparse. Therefore, and because of contrastive, domain-specific language, recommending similar papers for a given patent (or vice versa) is challenging..We propose a recommender system that leverages topic distributions and keywords to recommend related work despite these c
歪曲道理
发表于 2025-3-28 12:03:44
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