A hypergraph-based approach for context-aware smart product-service system configuration
Smart product-service system (Smart PSS) is a heterogeneous and integrated system in
which manufacturers/service providers deliver integrated and customized product-service …
which manufacturers/service providers deliver integrated and customized product-service …
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration
With the trend of 'digitalization'and 'servitization'in the manufacturing industry, numerous
product-service systems fail to seize a market share and encounter an imbalance between …
product-service systems fail to seize a market share and encounter an imbalance between …
The recent advances in automatic term extraction: A survey
Automatic term extraction (ATE) is a Natural Language Processing (NLP) task that eases the
effort of manually identifying terms from domain-specific corpora by providing a list of …
effort of manually identifying terms from domain-specific corpora by providing a list of …
An empirical study of TextRank for keyword extraction
M Zhang, X Li, S Yue, L Yang - IEEE access, 2020 - ieeexplore.ieee.org
As a typical keyword extraction technology, TextRank has been used in a wide variety of
commercial applications, including text classification, information retrieval and clustering. In …
commercial applications, including text classification, information retrieval and clustering. In …
[PDF][PDF] Transforming term extraction: Transformer-based approaches to multilingual term extraction across domains
C Lang, L Wachowiak, B Heinisch… - Findings of the …, 2021 - aclanthology.org
Abstract Automated Term Extraction (ATE), even though well-investigated, continues to be a
challenging task. Approaches conventionally extract terms on corpus or document level and …
challenging task. Approaches conventionally extract terms on corpus or document level and …
Termeval 2020: Shared task on automatic term extraction using the annotated corpora for term extraction research (acter) dataset
The TermEval 2020 shared task provided a platform for researchers to work on automatic
term extraction (ATE) with the same dataset: the Annotated Corpora for Term Extraction …
term extraction (ATE) with the same dataset: the Annotated Corpora for Term Extraction …
A novel hybrid paper recommendation system using deep learning
E Gündoğan, M Kaya - Scientometrics, 2022 - Springer
Every year, thousands of papers are published in journals and conferences by researchers
in many different fields. These papers are an important guide for other researchers …
in many different fields. These papers are an important guide for other researchers …
NMF-based approach to automatic term extraction
A Nugumanova, D Akhmed-Zaki, M Mansurova… - Expert Systems with …, 2022 - Elsevier
This work describes automatic term extraction approach based on the combination of the
probabilistic topic modelling (PTM) and non-negative matrix factorization (NMF). Topic …
probabilistic topic modelling (PTM) and non-negative matrix factorization (NMF). Topic …
A novel ensemble statistical topic extraction method for scientific publications based on optimization clustering
The automatic topic extraction (TE) from scientific publications provides a very compact
summary of the clusters' contents. This often helps in locating information easily. TE enables …
summary of the clusters' contents. This often helps in locating information easily. TE enables …
An ensemble topic extraction approach based on optimization clusters using hybrid multi-verse optimizer for scientific publications
For text document clustering (TDC), a novel hybrid of the multi-verse optimizer (MVO)
algorithm and k-means (also called H-MVO) are proposed in this work. Moreover, a new …
algorithm and k-means (also called H-MVO) are proposed in this work. Moreover, a new …