Results 1 to 10 of about 72,487 (305)
Semantic ECG hash similarity graph
Graph-based methods have made significant progress in addressing the dependent correlations among ECG time series variables. However, most existing graph structures primarily focus on local similarity while overlooking global semantic correlation ...
Yixian Fang, Shilin Zhang, Yuwei Ren
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Multi-domain semantic similarity in biomedical research
Background Given the increasing amount of biomedical resources that are being annotated with concepts from more than one ontology and covering multiple domains of knowledge, it is important to devise mechanisms to compare these resources that take into ...
João D. Ferreira, Francisco M. Couto
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Multi‐similarity based hyperrelation network for few‐shot segmentation
Few‐shot semantic segmentation aims at recognizing the object regions of unseen categories with only a few annotated examples as supervision. The key to few‐shot segmentation is to establish a robust semantic relationship between the support and query ...
Xiangwen Shi +5 more
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UQeResearch: Semantic Textual Similarity Quantification [PDF]
This paper presents an approach for estimating the Semantic Textual Similarity of full English sentences as specified in Shared Task 2 of SemEval-2015. The semantic similarity of sentence pairs is quantified from three perspectives - structural, syntactical, and semantic. The numerical representations of the derived similarity measures are then applied
Hamed Hassanzadeh +3 more
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Applications of semantic similarity measures
There has been much interest in uncovering protein-protein interactions and their underlying domain-domain interactions. Many experimental techniques have been developed, for example yeast-two-hybrid screening and tandem affinity purification. Since it is time consuming and expensive to perform exhaustive experimental screens, in silico methods are
Schlicker, Andreas +7 more
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Linking Datasets Using Semantic Textual Similarity
Linked data has been widely recognized as an important paradigm for representing data and one of the most important aspects of supporting its use is discovery of links between datasets.
McCrae John P., Buitelaar Paul
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Current mainstream methods for computing word similarity often struggle to precisely capture the fine-grained semantics of words across different contexts.
XiaoHong Peng +4 more
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Metrics for GO based protein semantic similarity: a systematic evaluation
Background Several semantic similarity measures have been applied to gene products annotated with Gene Ontology terms, providing a basis for their functional comparison.
Falcão André O +5 more
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Questionnaires are essential for measuring self-reported attitudes, beliefs, and behaviour in many research fields. Semantic similarity of the questions is recognized as a source of covariance in the human data, implying that response patterns partly ...
Esko Lehtonen +2 more
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Semantic Similarity in the Gene Ontology [PDF]
Gene Ontology-based semantic similarity (SS) allows the comparison of GO terms or entities annotated with GO terms, by leveraging on the ontology structure and properties and on annotation corpora. In the last decade the number and diversity of SS measures based on GO has grown considerably, and their application ranges from functional coherence ...
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