“sematch - semantic similarity analysis for textual corpus and structural knowledge graphs” //@HackingSloth: 我觉得我的代码更加清晰,一个很小的类就搞定了,而且我还提供了跟DBpedia的交互,可以抽取实体描述,然后通过RAKE实现keyword的抽取, O网页链接 ...
creating a second corpus of all documents that include the second terms, obtaining other first terms in the first corpus and other second in the second corpus, and performing semantic similarity analysis to determine a similarity score between the first customer observable and the second customer obs...
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...
we make the following contributions: We propose tBERT — a simple architecture combining topics with BERT for semantic similarity prediction (section 3). We show in our error analysis that tBERT’s gains are prominent on domain-specific cases, such...
Semantic similarity has been the focus of much research, which has led to the definition of heterogeneous measures using different theoretical principles and ... D Sánchez,M Batet - 《Journal of Biomedical Informatics》 被引量: 262发表: 2011年 Semantic similarity analysis of protein data: assessm...
semantic-similaritydisease-ontologyenrichment-analysis UpdatedAug 26, 2024 R Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text. natural-language-processingstssemantic-similaritysemeval ...
formal concept analysisconcept similaritye-tourismAn ontology-based approach is a promising solution to the problem of semantic interoperability in e-tourism. ... YUXIA HUANG - 《Information Technology & Tourism》 被引量: 3发表: 2009年 A New Feature-Based Method for Similarity Measurement under the...
To enhance information retrieval recall and precision, this paper proposes an improved method of calculating ontology semantic similarity. This method adds three kinds of weighting factors in the calculation of semantic distance,they are depth, density and type. In addition, it also considers the infl...
Semantic similarity and relatedness are cornerstones of numerous treatments in which lexical units (e.g., terms, documents), concepts or instances have to be compared from texts or knowledge representation analysis. These semantic measur... S Harispe,S Ranwez,S Janaqi,... - Springer, Cham 被...
The invention discloses a text similarity measuring method based on semantic analysis and a semantic relation network. First, two texts are input and are preprocessed, and a preprocessed result is a collection of vocabularies; second, the lexical semantic similarity of the preprocessed result of the...