Most of the previous works regarding semantic similarity measures have been traditionally defined between words or concepts (i.e. word-to-word similarity), thus ignoring the text or sentence that the concepts participate. Semantic text similarity was made possible with the availability of resources ...
Estimating the semantic similarity between text data is one of the challenging and open research problems in the field of Natural Language Processing(NLP).The versatility(多样性) of natural language makes it difficult to define rule-based methods for determining semantic similarity measures(NLP的多样性...
A lot of similarity measures have been used in different domains. Most of the measures are corpus dependent or language dependent. When some measures are good to compute word-to-document matching, they are unable to compute document-to-document similarity and vice versa. In this paper we ...
graph embedding: 使用200维的用DBpedia 2015-10数据训练的RDF2vec向量 3.Similarity Measures(对应步骤3) :早期融合:后期融合{EarlyFusion:早期融合LateFusion:后期融合 Early Fusion:先把query的term向量矩阵合成一维向量Cq→=∑i=1nqi→/n,table类似为CT→,然后计算Cq→和CT→向量的cosine相似度。对于word embedd...
Semantic similarity measures are widely used in Natural Language Processing (NLP) and Information Retrieval (IR). The work proposed here uses web based metrics to compute the semantic similarity between words or terms and also compares with the state-of-the-art. For a computer to decide the ...
The discriminating power values estimated using all considered similarity measures are plotted for all Pfam clans Full size imageFig. 6 Comparison of the discriminating power of six similarity measures using KEGG pathway and BP annotations. The discriminating power values estimated with all considered ...
Assessing semantic similarity measures for the characterization of human regulatory pathways Pathway modeling requires the integration of multiple data including prior knowledge. In this study, we quantitatively assess the application of Gene Ontol... G Xiang,R Liu,CD Shriver,... - 《Bioinformatics》 ...
Similarity measuresData compressionCzech thesaurusSynonymyPlagiarism detection techniquesThis paper aims at detecting semantic plagiarism in Czech texts. The paper integrates a similarity measure technique previously used for text compression along with a synonyms structured thesaurus and a stemming algorithm to...
This software package offers essential functions for utilizing semantic similarity measures directly from RDF or OWL files. A demo is available at:DiShIn Demo Package Package documentation New Stuff 2024 DATABASES: Databases updated: 202407 2023
We combine several graph alignment features with lexical semantic similarity measures using machine learning techniques and show that the student answers can be more accurately graded than if the semantic measures were used in isolation. We also present a first attempt to align the dependency graphs ...