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Sustainable semantic similarity assessment
Journal of Intelligent & Fuzzy Systems, 2022 The automatic semantic similarity assessment field has attracted much attention due to its impact on multiple areas of study. In addition, it is also relevant that recent advances in neural computation have taken the solutions to a higher stage. However, some inherent problems persist.
Martinez-Gil, Jorge +1 more
openaire +3 more sources
The K-Means Clustering Algorithm With Semantic Similarity To Estimate The Cost of Hospitalization
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019 The cost of hospitalization from a patient can be estimated by performing a cluster of patient. One of the algorithms that is widely used for clustering is K-means.
Ida Bagus Gede Sarasvananda +2 more
doaj +1 more source
Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
, 2008 As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Wei Yu +7 more
core +1 more source
AndriyMulyar/semantic-text-similarity: Zenodo Archiving Release
, 2020 an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text.
Andriy Mulyar
core +1 more source
Empirical measurements of lexical similarity in noun phrase conjuncts [PDF]
, 2007 The ability to detect similarity in conjunct heads is potentially a useful tool in helping to disambiguate coordination structures - a difficult task for parsers. We propose a distributional measure of similarity designed for such a task.
Deirdre Hogan, Hogan, Deirdre
core +1 more source
A COMPARISON OF SEMANTIC SIMILARITY MODELS IN EVALUATING CONCEPT SIMILARITY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 The semantic similarities are important in concept definition, recognition, categorization, interpretation, and integration. Many semantic similarity models have been established to evaluate semantic similarities of objects or/and concepts.
Q. X. Xu, W. Z. Shi
doaj +1 more source
Advances in Multimedia, 2022 TF-IDF (term frequency-inverse document frequency) is one of the traditional text similarity calculation methods based on statistics. Because TF-IDF does not consider the semantic information of words, it cannot accurately reflect the similarity between ...
Fei Lan
doaj +1 more source
, 2006 In the context of the Semantic Web, many ontology-related operations, e.g. ontology ranking, segmentation, alignment, articulation, reuse, evaluation, can be boiled down to one fundamental operation: computing the similarity and?or dissimilarity among ...
Harith Alani +12 more
core +1 more source
Short Text Semantic Similarity Measurement Approach Based on Semantic Network
مجلة بغداد للعلوم, 2022 Estimating the semantic similarity between short texts plays an increasingly prominent role in many fields related to text mining and natural language processing applications, especially with the large increase in the volume of textual data that is ...
Naamah Hussien Hameed +2 more
doaj +1 more source
Semantic similarity prediction is better than other semantic similarity measures
Trans. Mach. Learn. Res., 2023 Accepted at TMLR: https://openreview.net/forum?id ...
openaire +3 more sources