Our approach constructs a similarity graph that stores the strength of the semantic relationship between words. Specifically, an edge between two words describes the probability that someone who is interested in
The corpus-based semantic metrics mainly rely on the distri- bution hypothesis that the statistical co-occurrence between word contexts in a corpus reflects the degree of semantic 123 6340 Complex & Intelligent Systems (2024) 10:6339–6377 relationship between words [2]. As the co-occurrence ...
It looks at the relationship between words in a sentence to improve accuracy by more clearly “identifying the meaning” of the sentence. Image via Medium Entity extraction: Entity extraction is another technique for NLP that has become particularly important for voice search. As the name might...
As Johnson and Myklebust (1967) expressed it, “the words have an emptiness that belies superficial facility” (p. 273). Similarly, parents of children with AS between the ages of 6 and 11 described their children as “talking but not saying anything” (Church, Alisanski, & Amanullah, ...
The graph model still most suitable representation of text document. It represents better the relationship between words by preserving the structural representation of the context. This will definitely lead to a better result. Nonetheless, graph based modeling is highly portable to other languages and ...
Semantic searchis “a type of search that understands the user’s intent and the relationship between concepts.” You might be wondering, “But isn’t search intent important for SEO in general?” The answer is yes. However, Google’s semantic search algorithm uses artificial intelligence and ...
In this paper, we develop a novel model, SemSeq4FD, which integrates global semantic relationship and local sequential order to enhance text representation for fake news detection. Consider a news document consisting of n sentences D=Sii=1n , where each sentence Si is a set that contains Ti ...
1.A method of determining a semantic relationship, comprising:receiving source content;performing cluster analysis at least in part by using at least a portion of the source content; andusing at least a portion of a result of the cluster analysis to determine the semantic relationship between two...
Asymmetries betweenform and meaningIn an ideal view on word structure there isa symmetric relationship between the formalstructure of complex words and their mean-ing. This implies that there is a one-to-onerelationship between the different parts of theform of a given word and the different ele...
1) relationship among polysemantic words 义项间关系2) semantic relation between words 词汇间语义关系 1. the quantitative research of semantic relation between words is an important and basic subtask for some natural language processing task,such as Text Classification,Information Retrieval and ...