[PDF] Top 20 Tuning a Semantic Relatedness Algorithm using a Multiscale Approach

... the semantic relatedness between a pair of ...a semantic graph and does not require any knowledge about the graph’s ...of semantic related- ness algorithms based on the notion of proximity ... See full document

... knowledge-free algorithm to automatically induce the morphology structures of a ...Our algorithm takes as input a large corpus and produces as output a set of conflation sets indicating the various ... See full document

... the semantic relatedness of terms is an important topic in several areas, including data mining, information retrieval and web ...an approach for computing the se- mantic relatedness of terns ... See full document

... for semantic relatedness calculation between pair of concepts which uses Tversky’s feature based approach which takes into account the common and distinct feature of the two terms or ...calculated ... See full document

... with semantic relations posing a strong competition against ...of semantic relatedness, many have piloted the studies of using Wiktionary as an alternative to ...based algorithm to ... See full document

... flexible approach for bootstrapped discovery and ranking of heterogeneous relevant services and information in context-aware ...the semantic relatedness between the information provided by the ... See full document

... Some basic parameters were set according to the recommendations of Lapesa and Evert (2014): sparse (i.e. non-negative) simple log-likelihood (simple-ll) is used as an association measure for feature weight- ing and an ... See full document

... computing semantic relatedness of words and tested on the basis of word senses defined in ...This approach bridges the gap between gloss based algorithms and the cases, when textual defini- tions of ... See full document

... iterative approach that uses the bottom-up Hierarchical Agglomerative Clustering (HAC) algorithm for text ...clustering algorithm successively merges documents into clusters based on a specific ... See full document

... For the purposes of these experiments, we extended the update algorithm to map to- gether general object nodes, rather than fo- cusing solely on named entities. This was nec- essary due to the nature of the task. ... See full document

... learnable approach to address this issue. A ranking algorithm is proposed to rank important key terms along with an approach to discover contextual annotation of a given ...done using two ... See full document

... novel approach to measuring semantic relatedness which first builds a large-scale se- mantic network and then determines the relatedness of nodes by the similarity of their surrounding local ... See full document

... (KGs) have become available, such as Freebase [1], DBpedia [2], YAGO [3], which are novel semantic networks recording millions of concepts, entities, and their relationships. Typically, nodes of KGs consist of a ... See full document

... Controller tuning is one of the important aspect in industry. With a good tuning method, it can ensure the quality of the process and product ...Genetic algorithm is one of the tuning method ... See full document

... by tuning of the PID controller using Genetic Algorithm and Particle Swarm Optimization ...results using Evolutionary algorithms are also compared with PID tuning using ... See full document

... Many attempts have been made to improve the overlap-based lexical similarity distance, for various applications to HLT. One approach is to construct a taxonomy of concepts and relations (manually or automatically) ... See full document

... lexical semantic change. Our framework exploits an intu- itive notion of semantic relatedness, and distinguishes between innovative and re- ductive meaning changes with high inter- annotator ...the ... See full document

... In this paper, methodology for tuning controllers for MIMO processes has been proposed. A novel method for the independent design of a multi-loop PID controller is proposed, based on the concept of EOTF. The EOTF ... See full document

... In this paper, we present a neural-based model with stacked bidirectional LSTMs to generate the vector representations of questions and answers, and predict their semantic similarities. These simi- larity scores ... See full document

... as semantic similarity or semantic ...hand, semantic relatedness de- scribes how much are the words related in mean- ...higher relatedness the higher chance that the words appear in ... See full document