[PDF] Top 20 An Improved HowNet based Algorithm for Semantic Similarity Computation

... density, semantic distance, information content and so ...of improved semantic similarity model has been greatly improved in term of parts 4 experimental ... See full document

... clustering algorithm, each time with a dif- ferent similarity computation measure (EgoSimilar and five other measures that are pre- sented later in this ...change based on the users who find ... See full document

... data based on the mechanisms like message publish/subscribe and event trigger mechanisms, message bus sends and receives messages relying on message channel, with each pair of interactive objects matched by a ... See full document

... clustering algorithm, the text is the unit of similarity calculation, and the similarity is based on the text similarity of the ...the similarity between the content of a mail ... See full document

... shift algorithm for the base segmentation paintings and (ii) Use of a novel scale-focused merging order to limit the location ...the semantic content material of the ...texture based totally ... See full document

... ranked based on the reliability, genuineness of the web pages which ensures that the user is catered with all the relevant information that he actual ...rank computation, we exploit “Modularize Relevance ... See full document

... new semantic similarity algorithm, integrating the relations of conceptual semantics, hierachical structure and the depth, and apply the algorithm in the computation of sentence ... See full document

... In HowNet, each word will correspond to a number of concepts, and the concept is defined on the basis of sememes by knowledge base description language, which will be called the sense expression of the ...the ... See full document

... of computation algorithms of semantic similarity, it might prove advantageous to define a metric that combines the maximum sense and attributional assumptions based on the semantic ... See full document

... mathematical algorithm for improving a search engine's ...latent semantic indexing search and retrieval ...Relation Based Page Rank Algorithm that relied on information extracted from user ... See full document

... In automatic optical inspection (AOI) systems, speed, precision, and robustness are the key requirements in real world applications. The technique of image alignment can be used to achieve these requirements. The common ... See full document

... Decision trees have been extensively exploited as a category of classification model that signify understandable understanding to the client. In this paper [10], here author has suggest the make use of ACO-based ... See full document

... clustering based algorithm can effectively and efficiently deal with redundant and irrelevant ...This algorithm involves 1) irrelevant features are removed efficiently; 2) minimum spanning tree is ... See full document

... We also compare our method with the one proposed by Giuliano et al. (2009), which is also kernel-based. Like bag-of-walks kernels, their kernel takes multi-word co-occurrences with a target word into account, but ... See full document

... HowNet uses a markup language called KDML to describe word’s concept which facili- tates computer processing (Li et al., 2012). A different semantic of one word has a different DEF description. DEF is ... See full document

... then based on the tree code for subgraph query is NP complete Problem, the query time complexity is ...its similarity degree is relatively high, the result set is smaller, in practical application can only ... See full document

... Through system integration technology, the composed documents with images and text information can be easi- ly implemented for their similarity. Especially for the text word counting process, the Hadoop system is ... See full document

... As BLEU is scored using matching n-grams be- tween the candidate and ground-truth sentences, it can be considered a better indicator of semantic similarity between sentences than cross-entropy loss. One ... See full document

... For example, the words day, daytime and light constitute a single synset that has the following gloss: the time after sunrise and before sunset while it is light outside. The explicit semantic relations are used ... See full document

... ways. First we analyze the bug summary with the help of LSI Indexing & SVD classification which is simple to use and efficient to other classification algorithm. Natural language processing enables us to ... See full document