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[PDF] Top 20 Know Your Graph. State-of-the-Art Knowledge-Based WSD

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Know Your Graph. State-of-the-Art Knowledge-Based WSD

Know Your Graph. State-of-the-Art Knowledge-Based WSD

... Two discussion points regarding Random Walks on Graph approaches are central in the context of this article: knowledge base enrichment and algo- rithm parametrization. Simov et al. (2016) have shown that ... See full document

10

TD-SIGNET: COMMUNITY MINING WITH WSD BASED ON IMPLIED GRAPH STRUCTURE IN SOCIAL NETWORKS

TD-SIGNET: COMMUNITY MINING WITH WSD BASED ON IMPLIED GRAPH STRUCTURE IN SOCIAL NETWORKS

... its graph structure, particularly when it is a large scale complex ...and knowledge from a huge network. The mined knowledge could provide a higher logical view and more precise insight of the nature ... See full document

9

Modeling the knowledge management processes for planning and scheduling of construction projects based on state of the art technology

Modeling the knowledge management processes for planning and scheduling of construction projects based on state of the art technology

... is based on reviewing and matching current available technology and ensuring that it is closely tied in with a real practice of Malaysia’s construction industry and not just ‘importing’ models from other ... See full document

59

Automatic disambiguation of English puns

Automatic disambiguation of English puns

... to WSD can be categorized accord- ing to the type of knowledge sources used to help discriminate ...senses. Knowledge-based approaches restrict themselves to using pre-existing lexical- ... See full document

11

Graph Enhanced Cross Domain Text to SQL Generation

Graph Enhanced Cross Domain Text to SQL Generation

... a state-of-the-art Spider model, SyntaxSQLNet, by constructing a graph of column names for all databases and using graph neural networks to compute their ... See full document

5

Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech

Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech

... models based on N-grams and maximum likeli- hood estimation, and employs model interpolation to combine different representations of the ...multiple knowledge sources in the max- imum entropy (maxent) ... See full document

8

A Study of Text Mining For Web Information Retrieval System From Textual Databases

A Study of Text Mining For Web Information Retrieval System From Textual Databases

... or knowledge discovery from textual databases refers to the method of extracting interesting and non-trivial form or information from text ...of knowledge discovery, text Information Retrieval has very ... See full document

5

A Capsule Network based Embedding Model for Knowledge Graph Completion and Search Personalization

A Capsule Network based Embedding Model for Knowledge Graph Completion and Search Personalization

... previous state-of-the-art em- bedding models for knowledge graph comple- tion on two benchmark datasets WN18RR and FB15k-237, and outperforms strong search personalization baselines on ... See full document

10

Two graph based algorithms for state of the art WSD

Two graph based algorithms for state of the art WSD

... two graph algorithms for unsupervised induction and tagging of nominal word senses based on ...parameters based on a small sample of nouns carries over to all nouns, performing close to supervised ... See full document

9

The risk of sub optimal use of Open Source NLP Software: UKB is inadvertently state of the art in knowledge based WSD

The risk of sub optimal use of Open Source NLP Software: UKB is inadvertently state of the art in knowledge based WSD

... performing graph-based Word Sense Disambiguation using a pre-existing knowl- edge base such as WordNet, and attained state-of- the-art results among knowledge-based systems when ... See full document

5

Robust and Efficient Page Rank for Word Sense Disambiguation

Robust and Efficient Page Rank for Word Sense Disambiguation

... different graph-based mod- els over two well known WSD benchmarks is re- ...the graph to converge towards the proper senses in fewer ...different graph: in this way the WordNet ... See full document

9

UniParse: A universal graph based parsing toolkit

UniParse: A universal graph based parsing toolkit

... the graph-based parsing framework and toolkit UniParse, released as an open- source python software package devel- oped at the IT University, Copenhagen ...of graph- based dependency parsing ... See full document

5

Advanced Cost based Graph Clustering Algorithm for Random Geometric Graphs

Advanced Cost based Graph Clustering Algorithm for Random Geometric Graphs

... Extensive experimentation with synthetic and real random geometric graph RGG benchmark datasets show that our algorithm outperforms state-of-the-art graph clustering techniques on the ba[r] ... See full document

15

Irreversible electroporation: state of the art

Irreversible electroporation: state of the art

... Further parameters to be adjusted in IRE ablation are voltage, pulse number, pulse length, electrode number, and electrode spacing. The parameters can be entered into the IRE console, which subsequently generates a ... See full document

10

International Journal of Computer Science and Mobile Computing

International Journal of Computer Science and Mobile Computing

... In the AntNet[5] algorithm, routing is determined by means of very complex interactions of forward and backward network exploration agents (“ants”). The idea behind this sub-division of agents is to allow the backward ... See full document

7

Deep depth-based representations of graphs through deep learning networks

Deep depth-based representations of graphs through deep learning networks

... learning techniques designed for vector-based data can be directly employed. For in- stance, Wilson et al. [8] have computed graph invariant from algebraic graph theory. They use the spectral ... See full document

29

Know your course android application

Know your course android application

... 1.3 OBJECTIVES These are the objectives of the project : 1 To provide sufficient information for the students who wants to choose courses to further their studies 2 To assist the student[r] ... See full document

24

Reliability optimization of binary state non-repairable systems: A state of the art survey   Pages 339-364
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Reliability optimization of binary state non-repairable systems: A state of the art survey Pages 339-364 Download PDF

... our knowledge, in the area of RAP just one work for chaos uncertainty has been reported as presented in Table 9 and more researches in this area would be ... See full document

26

Biomarkers and the prediction of atrial fibrillation: state of the art

Biomarkers and the prediction of atrial fibrillation: state of the art

... 3. Benjamin EJ, Levy D, Vaziri SM, D’Agostino RB, Belanger AJ, Wolf PA. Independent risk factors for atrial fibrillation in a population-based cohort. The Framingham Heart Study. JAMA. 1994;271(11):840–844. 4. ... See full document

7

Cancer therapy: know your enemy?

Cancer therapy: know your enemy?

... are based on the maximum dose density of the Norton-Simon model, which postu- lates maximal killing of tumor cells by using therapeutic doses close to, or in extreme cases exceeding the limit of tolerable ... See full document

6

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