WordNet-based semantic similarity measures
Refining the Notions of Depth and Density in WordNet based Semantic Similarity Measures
... in WordNet-based semantic sim- ilarity ...in WordNet-based similarity measures does not always stand up to empirical ...of WordNet does not always corre- late with ...
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Evaluating WordNet based Measures of Lexical Semantic Relatedness
... resource-based measures of lexical semantic distance, or, equivalently, semantic relatedness, for use in natural language processing ...of similarity and how well they fill the broader ...
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Learning Graph Embeddings from WordNet based Similarity Measures
... distance measures that take information beyond the graph struc- ture into ...on semantic similarity and word sense disambiguation tasks, using various WordNet- based similarity ...
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Identification of New Parameters for Ontology Based Semantic Similarity Measures
... measure semantic similarity ...compute semantic similarity between words have been studied and listed their benefits and shortcomings on the various identified ...good similarity ...
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A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction
... different measures provide complementary types of semantic ...instance, WordNet-based measures score high hypernyms, distribu- tional analysis score high co-hypernymy and synonyms, ...a ...
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A Study of Hybrid Similarity Measures for Semantic Relation Extraction
... different measures provide complementary types of semantic ...instance, WordNet-based measures score higher hypernyms than associative relations; distribu- tional analysis score high ...
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The development of a framework for semantic similarity measures for the Arabic language
... corpus based and the knowledge based techniques of word semantic similarity are used for measuring the text ...text semantic similarity, known as STASIS, was proposed by Li et al ...
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Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering
... ontology measures can be partitioned into two categories: thesaurus-based methods and corpus-based ...of Wordnet as the thesaurus-based ontology. However, the corpus-based method ...
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Corpus-based Semantic Relatedness for the Construction of Polish WordNet
... other measures: 5 : Lin’s measure (Lin, 1998), CRMI (Weeds and Weir, 2005), RFF (Geffet and Dagan, 2004) and Freitag et ...the measures based on lexico-syntactic ...LU similarity calculation ...
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Testing Semantic Similarity Measures for Extracting Synonyms from a Corpus
... lexical semantic similarity measures has been the subject of lots of works for many ...distributional semantic similarity ...of measures were already achieved for determining if ...
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A Survey on Semantic Similarity Measures between Concepts in Health Domain
... the semantic similarity measures have been adopted to biomedical field by incorporating domain in- formation extracted from clinical data or medical ...4. Semantic Similarity ...
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On the Creation of a Fuzzy Dataset for the Evaluation of Fuzzy Semantic Similarity Measures
... of similarity between short pieces of ...of similarity between two sentences through the use of ontological relations between words using Wordnet [6] - a large lexical database that contains ...
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LIPN CORE: Semantic Text Similarity using n grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features
... richer similarity mea- sures, like quasi-synchronous grammars (Smith and Eisner, 2006) and random walks (Ramage et ...like Wordnet lexical re- lations for ...of similarity measures in such a ...
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LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features
... richer similarity mea- sures, like quasi-synchronous grammars (Smith and Eisner, 2006) and random walks (Ramage et ...like Wordnet lexical re- lations for ...of similarity measures in such a ...
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Measuring Word Semantic Relatedness Using WordNet-Based Approach
... implicit semantic relations together can reveal hidden similarity between terms, when we add the gloss to the path-based method, it pays a positive role to the ...only measures, which ...
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A Review of Semantic Similarity Measures in Biomedical Domain Using SNOMED-CT
... on semantic similarity supported only a unique input ontology, while knowledge is dispersed through several partial and/or overlapping ontologies in many ...enable similarity estimation across ...
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Towards Exploring Semantic Similarity based on WordNet Semantic Dictionary
... loads semantic package and uses it to extract knowledge from the current web page as shown in ...time, WordNet should only ever be loaded ...of WordNet loaded into memory, therefore the system checks ...
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An empirical study of semantic similarity in WordNet and Word2Vec
... Some relations in WordNet have more associated synsets than others. Thus our experiment might be said to measure differences in associated synsets in WordNet instead of output from Word2Vec. We address this ...
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A Comparison of WordNet and Roget’s Taxonomy for Measuring Semantic Similarity
... 2 Resnik used the semantic concordance (semcor) that comes with WordNet. Semcor is derived from a hand-tagged subset of the Brown Corpus. His calculations were done using W[r] ...
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Measuring Semantic Similarity for Bengali Tweets Using WordNet
... topic based tweets collection is to capture people‘s natural way of explaining an event us- ing different synonymous words and varied syn- tactic formations while expressing the same ...
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