senile-dementia
发表于 2025-3-28 18:07:07
RussianFlu-DE: A German Corpus for a Historical Epidemic with Temporal Annotationctions to them, and to construct timelines of events and of language use, among other applications. However, producing a precise corpus of a particular event in history is very challenging due to the lack of noise-free digitalized data. This paper introduces RussianFlu-DE, a temporally annotated cor
N防腐剂
发表于 2025-3-28 22:05:00
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HILAR
发表于 2025-3-28 23:05:18
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concentrate
发表于 2025-3-29 04:01:03
Automatic Hierarchical Categorization of Research Expertise Using Minimum Informationcher with such areas makes a series of tasks feasible such as the organization of digital repositories, expertise recommendation and the formation of research groups for complex problems. In this paper we propose a simple yet effective automatic classification model that is capable of categorizing r
GOAT
发表于 2025-3-29 08:53:59
Extracting Event-Centric Document Collections from Large-Scale Web Archivesentists. These collections constitute an increasingly important source for researchers in the social sciences, the historical sciences and journalists interested in studying past events. However, there are currently no access methods that help users to efficiently access information, in particular a
Stress
发表于 2025-3-29 11:23:23
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rheumatology
发表于 2025-3-29 15:43:48
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allude
发表于 2025-3-29 21:03:59
How Linked Data can Aid Machine Learning-Based Tasksg and preparing data before using them for various reasons, e.g., for applying or testing machine learning algorithms. In this paper we propose a general method for discovering, creating and selecting, in an easy way, valuable features describing a set of entities for leveraging them in a machine le
不再流行
发表于 2025-3-30 01:59:09
Can Plausibility Help to Support High Quality Content in Digital Libraries? contrasted with prior knowledge. In particular, our work proposes a novel assessment of scientific papers to support the workload of reviewers. The proposed approach focus on a core component of a scientific paper: its claim. Our methodology exploits state of the art neural embedding representation
Uncultured
发表于 2025-3-30 04:28:06
Classifying Document Types to Enhance Search and Recommendations in Digital Libraries. We show that the metadata provided by repositories enabling us to distinguish research papers, thesis and slides are missing in over . of cases. While these metadata describing document types are useful in a variety of scenarios ranging from research analytics to improving search and recommender (