Results 271 to 280 of about 408,758 (354)
A study of search result aggregation approaches for the digital humanities
Abstract Searching across diverse information platforms, such as digital humanities archives, academic digital libraries, and encyclopedias, poses challenges in managing the queries issued to each platform and synthesizing the resources discovered. While search result aggregation interfaces address this problem, how best to present the search results ...
Milad Momeni, Orland Hoeber
wiley +1 more source
A comprehensive dataset and neural network approach for named entity recognition in the Uzbek language. [PDF]
Mengliev D+4 more
europepmc +1 more source
Development of Amazighe Named Entity Recognition System Using Hybrid Method
Meryem Talha+2 more
openalex +1 more source
Right answers to wrong questions: The dysfunctional nature of information needs
Abstract People frequently experience difficulties when seeking information to complete tasks. To overcome these difficulties, people require help. Regarding struggles with information needs, past research focuses on unclear information requests, such as ambiguous, under‐specified, and ill‐defined queries, and repairing these by user‐led strategies (e ...
Melanie A. Kilian+2 more
wiley +1 more source
Abstract The term semantic primitives refers to a set of basic, atomic concepts from which all other (compound) concepts are constructed. It presupposes the principle of compositionality—the idea that complex items or expressions can be formed by combining simpler constituents.
Birger Hjørland
wiley +1 more source
Chinese Named Entity Recognition for Automobile Fault Texts Based on External Context Retrieving and Adversarial Training. [PDF]
Wang S, Sun L.
europepmc +1 more source
Annotation guidelines for machine learning-based named entity recognition in microbiology
Claire Nédellec+4 more
openalex +1 more source
Understanding discrepancies in the coverage of OpenAlex: The case of China
Abstract Citations indexes play a crucial role for understanding how science is produced, disseminated, and used. However, these databases often face a critical trade‐off: those offering extensive and high‐quality coverage are typically proprietary, whereas publicly accessible datasets frequently exhibit fragmented coverage and inconsistent data ...
Mengxue Zheng+3 more
wiley +1 more source
Improving dictionary-based named entity recognition with deep learning. [PDF]
Nastou K+3 more
europepmc +1 more source