semantic similarity measure
Semantic Similarity Measure Using Information Content Approach With Depth For Similarity Calculation
... ORK Semantic relatedness measure for calculating semantic similarity between terms represent in WordNet ...ontology. Semantic measures used for performing tasks such as term ...
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Searching the gene ontology terms using semantic similarity measure
... ignoring semantic relationships between terms, and highly depending on a specialist to find similar ...Therefore, semantic similarity measure is used to compute similitude strength between ...
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Implementation of a Functional Semantic Similarity Measure between Gene-Products
... to measure the similar- ity between the concepts represented by the ontologies or be- tween the objects linked to these concepts are ...of semantic similarity ...proposed semantic ...
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A Movie Recommender System using Ontology Based Semantic Similarity Measure
... the similarity measures play a vital role in recommendation process and hence affect the performance of the recommender ...based semantic similarity ...
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An English-Chinese Cross-lingual Word Semantic Similarity Measure Exploring Attributes and Relations
... Word semantic similarity measuring is a fundamental issue to many NLP appli- cations and the globalization has made an urgent request for cross-lingual word similarity ...word semantic ...
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Incorporating semantic similarity measure in genetic algorithm: an approach for searching the gene ontology terms
... ignoring semantic relationships between terms, and highly depending on a specialist to find similar ...combines semantic similarity measure and genetic algorithm to perform a better retrieval ...
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Semantic Similarity Measure using Web Page Count, NGD and Snippet Based Method
... a semantic similarity measure using page counts, NGD and snippets retrieved from a web search engine for two words, four word co-occurrence measures were computed using page ...numerous ...
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A Survey on Semantic Similarity Measure
... Abstract-Measuring semantic similarity between concepts is an important problem in web mining and text mining which needs semantic content ...matching. Semantic similarity has attracted ...
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Design and Development of a Bangla Semantic Lexicon and Semantic Similarity Measure
... organized semantic lexicon in Bangla and also a graph based edge-weighting approach to measure semantic similarity between two Bangla ...The similarity measures have been verified using ...
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Semantic Similarity Measure for Pairs of Short Biological Texts
... Similarity values can vary due to errors in text processing, mainly provoked by wrong word-sense-disambiguation or because there is not any path between two concepts in the UMLS ontology. In future work, these ...
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A Taxonomy Based Semantic Similarity Of Documents Using The Cosine Measure
... document similarity measure described in Equation ...document semantic similarity measure is chosen because it produced better results in the previous experiment ...taxonomy-based ...
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Semantic Similarity Between Sentences
... Palmer Similarity Measure (Wu et ...on semantic representation of verbs and investigated the influence on lexical selection problems in machine ...describe semantic similarity ...
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A New Semantic Lexicon and Similarity Measure in Bangla
... of semantic association among the words in mental lexicon is essential to many areas such as, developing pedagogical strategies, categorization, semantic web, natural language processing applications like, ...
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The development of a fuzzy semantic sentence similarity measure
... 115 5.4.2 A Corpus Based Method of Building a Fuzzy Dataset Given the complexity of the sentences that would now be required, the expert method that was used to build the first half of the dataset could no longer be ...
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A Semantic and Syntactic Similarity Measure for Political Tweets
... the semantic and syntactic similarity of human utterances is essential in allowing machines to understand dialogue with ...the semantic meaning of an utterance is usually dependent upon the context ...
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An ontology-based measure to compute semantic similarity in biomedicine
... our measure for the evalu- ated benchmark are, in all cases, higher than those reported for path-based ...ontology-based measure, our proposal reports higher correlations than some IC-based measures ...
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A relation based measure of semantic similarity for Gene Ontology annotations
... All the above approaches do not consider the semantics of relationships between terms. How terms are related can significantly alter how an annotation, which is a set of terms, is interpreted. In the GO there are two ...
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A relation based measure of semantic similarity for Gene Ontology annotations
... Figure 16 Standard Deviation of Pathway Similarity Values of Annotations Consisting only of Biological Process Terms Using SSAResnik Standard Deviation of Pathway Similarity Values of An[r] ...
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Attentive Siamese LSTM network for semantic textual similarity measure
... predicting similarity and human annotated similarity is strong correlated, near perfect ...important semantic information in a sentence, which is effective for our STS ...
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Using Concept Definitions and Ontology Structure to Measure Semantic Similarity in Biomedicine
... ABSTRACT Semantic similarity is useful in different areas of Natural Language Processing (NLP), such as word-sense disambiguation and name- entity recognition, as well as in information ...the ...
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