[PDF] Top 20 Using the Structure of a Conceptual Network in Computing Semantic Relatedness
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Using the Structure of a Conceptual Network in Computing Semantic Relatedness
... tual network. The method was applied to the task of computing semantic relatedness of words and tested on the basis of word senses defined in ...a conceptual hierarchy by generating a ... See full document
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A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia
... than using WordNet on two of the experimental datasets they ...category structure as feature in a path-length based technique; they then use words in an article and words from the first paragraph of an ... See full document
8
Using a Wikipedia based Semantic Relatedness Measure for Document Clustering
... Computing semantic relatedness between two texts requires: (1) to estimate relatedness between two sets of nodes in the network, as described in Sections 3 and 4; and (2) to project ... See full document
8
Semantic Relatedness from Automatically Generated Semantic Networks
... of semantic similarity and relatedness of terms is an important problem of lexical ...measuring semantic relatedness fall into one of two ...measuring semantic similarity than ... See full document
5
Using proximity to compute semantic relatedness in RDF graphs
... the semantic relatedness of terms is an important topic in several areas, including data mining, information retrieval and web ...for computing the se- mantic relatedness of terns in RDF ... See full document
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Structural Semantic Relatedness: A Knowledge Based Method to Named Entity Disambiguation
... rich semantic knowledge sources (such as Wikipe- dia and WordNet) creates new opportunities to enhance the named entity disambiguation by developing algorithms which can exploit these knowledge sources at ...the ... See full document
10
Using a Weighted Semantic Network for Lexical Semantic Relatedness
... measure relatedness, most of the lexicon-based approaches rely on the structure of the lexicon, such as the semantic link path, depth (Leacock and Chodorow, 1998; Wu and Palmer, 1994), direction ... See full document
9
Tuning a Semantic Relatedness Algorithm using a Multiscale Approach
... of semantic relationships among their ...a semantic relationship it is possible to use simple assumptions regarding the distribution of ...tions. Semantic measures based on this source type rely on ... See full document
20
Evaluating Semantic Resemblance of Perception in Data Graphs
... novel semantic networks recording millions of concepts, entities, and their ...representing conceptual abstractions of things, and a set of instances Ii; I2; : : : ; Im representing real-world ...the ... See full document
7
Measuring Word Semantic Relatedness Using WordNet-Based Approach
... tree-like structure for each ...distinct conceptual and lexical ...the semantic relations among words, whereas the groupings of words in a thesaurus does not follow any explicit pattern other than ... See full document
8
Exploitation of semantic methods to cluster pharmacovigilance terms
... the semantic distance and one with terminology ...the semantic distance and similarity algorithms, in addi- tion to the fact that only 51% of the MedDRA terms are included in the ontoEIM resource, when the ... See full document
14
Content selection as semantic based ontology exploration
... space models can help to improve the coherence of automatically formulated KB queries. These mod- els are learnt from large corpora and provide gen- eral shared common semantic knowledge. Such models have been ... See full document
5
Revisiting Word Embedding for Contrasting Meaning
... ral network to get a further improvement on the GRE benchmark, where an F-score of 81% was ...dimensional semantic information, relations, un- supervised data structure information in tensor ... See full document
10
The semantic representation of spatial configurations: a conceptual motivation for generation in Machine Translation
... The semantic representation of spatial configurations a conceptual motivation for generation in Machine Translation The semantic representation of spatial configurations a conceptual motivation for ge[.] ... See full document
6
Czech Dataset for Semantic Similarity and Relatedness
... Translating the existing datasets. The annota- tors translated to Czech randomly selected pairs from the following English datasets: RG, MTurk, MEN and Rare words. The annotators were in- structed to refrain from ... See full document
6
Learning Semantic Relatedness in Community Question Answering Using Neural Models
... computed using conventional vector space models with se- mantic similarities between questions estimated using WordNet (Fellbaum, 1998) to rank ...calculated using WordNet and a bi- partite ...and ... See full document
11
Thematic Roles: Primitives of Semantic Theory or Inferences from LCS
... in semantic fields or frames, thus role-concepts come from several different semantic frames such as the field of movement and location (Source, Goal, Location, Theme, Path, ...complex structure, ... See full document
15
A Text Based Video Retrieval Using Semantic and Visual Approach
... The semantic similarity measures not only consider the Lesk semantic relatedness measure ...general semantic relatedness scores between pairs of words or phrases, which are better ... See full document
6
A Review On Cloud Computing And Grid Computing
... Software-as-a-Service aims at replacing the applications running on PC. There is no need to install and run the special software on your computer if you use the SaaS. As an alternative of export the software at a ... See full document
7
Conceptual metaphors in poetry interpretation:A psycholinguistic approach
... that conceptual metaphors influence how people produce and understand language ...of Conceptual Metaphor Theory that much of everyday, non-poetic language is ...access conceptual metaphors during ... See full document
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