Automatic construction of educational knowledge graphs: a word embedding-based approach
Knowledge graphs (KGs) are widely used in the education domain to offer learners a
semantic representation of domain concepts from educational content and their relations …
semantic representation of domain concepts from educational content and their relations …
GeoTPE: A neural network model for geographical topic phrases extraction from literature based on BERT enhanced with relative position embedding
Abstract Geographical Topic Phrases (GTPs) are specialized terms for describing
geographical objects, phenomena, or events and are frequently used to organize, navigate …
geographical objects, phenomena, or events and are frequently used to organize, navigate …
An enhanced method on transformer-based model for one2seq keyphrase generation
L Shen, X Le - Electronics, 2023 - mdpi.com
Keyphrase generation is a long-standing task in scientific literature retrieval. The
Transformer-based model outperforms other baseline models in this challenge dramatically …
Transformer-based model outperforms other baseline models in this challenge dramatically …
Exploring Potential R&D Collaboration Partners Using Embedding of Patent Graph
J Lee, S Park, J Lee - Sustainability, 2023 - mdpi.com
Rapid market change is one of the reasons for accelerating a technology lifecycle.
Enterprises have socialized, externalized, combined, and internalized knowledge for their …
Enterprises have socialized, externalized, combined, and internalized knowledge for their …
Semantic Interest Modeling and Content-Based Scientific Publication Recommendation Using Word Embeddings and Sentence Encoders
The fast growth of data in the academic field has contributed to making recommendation
systems for scientific papers more popular. Content-based filtering (CBF), a pivotal …
systems for scientific papers more popular. Content-based filtering (CBF), a pivotal …
A new unsupervised technique to analyze the centroid and frequency of keyphrases from academic articles
Automated keyphrase extraction is crucial for extracting and summarizing relevant
information from a variety of publications in multiple domains. However, the extraction of …
information from a variety of publications in multiple domains. However, the extraction of …
[PDF][PDF] A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles. Electronics 2022, 11, 2773
Automated keyphrase extraction is crucial for extracting and summarizing relevant
information from a variety of publications in multiple domains. However, the extraction of …
information from a variety of publications in multiple domains. However, the extraction of …