Results 51 to 60 of about 61,050 (259)
Comparing Word Representation BERT and RoBERTa in Keyphrase Extraction using TgGAT
In this digital era, accessing vast amounts of information from websites and academic papers has become easier. However, efficiently locating relevant content remains challenging due to the overwhelming volume of data.
Novi Yusliani +4 more
doaj +1 more source
ABSTRACT European agriculture is increasingly exposed to economic instability driven by extreme weather events, market volatility, and geopolitical tensions. To manage these growing risks, farmers are encouraged to adopt innovative risk management strategies such as the Income Stabilization Tool (IST), which offers protection against severe income ...
Alice Stiletto +5 more
wiley +1 more source
A RoBERTa Based Approach for Address Validation
Address verification is becoming more and more mandatory for businesses involved in parcel or mail delivery. Situations where shipments are returned or delivered to the wrong person (or legal entity) are harmful and may incur several costs to the stakeholders.
Guermazi, Yassine +2 more
openaire +2 more sources
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
The rapid proliferation of digital news sources today necessitates the effective analysis and classification of large-scale textual data. In this study, BERT (Bidirectional Encoder Representations from Transformers) and its derivatives — DistilBERT ...
Ahmet Albayrak +2 more
doaj +1 more source
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
Transfer learning in large language models adapts pretrained models to newtasks by leveraging their existing linguistic knowledge for domain-specificapplications. A fine-tuned XLNet, base-cased model is proposed for classifyingAmazon product reviews. Two
Amrithkala M. Shetty +2 more
doaj +1 more source
Bibliografia prac Roberta Elsie. (Teksty naukowe. Tłumaczenia. Opracowania. Wystąpienia)
A bibliography of works by Robert Elsie. (Scientific papers, translations, studies, presentations) The paper gives a list of selected publications of Robert Elsie. Bibliografia prac Roberta Elsie. (Teksty naukowe. Tłumaczenia.
Irena Sawicka
doaj +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn +4 more
wiley +1 more source

