Results 51 to 60 of about 177,864 (288)
Named entity recognition using a new fuzzy support vector machine. [PDF]
, 2008 Recognizing and extracting exact name entities, like Persons, Locations, Organizations, Dates and Times are very useful to mining information from electronics resources and text.
Affendy, Lilly Suriani +2 more
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Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity
Arthritis Care &Research, EarlyView.Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley +1 more source
Named-Entity Recognition in Sports Field Based on a Character-Level Graph Convolutional Network
Information, 2020 Traditional methods for identifying naming ignore the correlation between named entities and lose hierarchical structural information between the named entities in a given text.
Xieraili Seti +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Named Entity Recognition Method of Legal Instruments Based on Improved Few-Shot Learning
IEEE AccessAutomatically extracting critical information from voluminous legal instruments can significantly enhance judges’ efficiency in handling cases and foster the development of intelligent courts.
Qiang Liu +4 more
doaj +1 more source
Applied Sciences, 2023 In cases of child sexual abuse, interviewing and obtaining trustworthy statements from victims and witnesses is essential because their statements are the only evidence.
Junho Shin +3 more
doaj +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Transfer Learning for Arabic Named Entity Recognition With Deep Neural Networks
IEEE Access, 2020 The vast amount of unstructured data spread on a daily basis rises the need for developing effective information retrieval and extraction methods. Named Entity Recognition is a challenging classification task for structuring data into pre-defined labels,
Mohammad Al-Smadi +3 more
doaj +1 more source
An Easy Partition Approach for Joint Entity and Relation Extraction
Applied Sciences, 2023 The triplet extraction (TE) task aims to identify the entities and relations mentioned in a given text. TE consists of two tasks: named entity recognition (NER) and relation classification (RC).
Jing Hou, Xiaomeng Deng, Pengwu Han
doaj +1 more source
Findings, 2020 An adverse drug event (ADE) is an injury resulting from medical intervention related to a drug. Automatic ADE detection from text is either fine-grained (ADE entity recognition) or coarse-grained (ADE assertive sentence classification), with limited ...
Susmitha Wunnava +4 more
semanticscholar +1 more source