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Pre-Processing and semantic closeness measurement

Aging and Semantic Processing

Aging and Semantic Processing

... top-down/bottom-up processing and PDP ...activated pre-lexically and can influence reaction time through feedback ...increased semantic activation is fed back to the orthographic level, which allows ...

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Semantic Invoice Processing

Semantic Invoice Processing

... 4. Ontoparser To verify the previously described methodology, the Ontoparser software was developed, which allows to manage the transformations of XML schemas and XML data to RDF/OWL automatically. Ontoparser works in a ...

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Theta Wave Coherence in Pre-Semantic Processing: An EEG study of Autism Spectrum Disorder

Theta Wave Coherence in Pre-Semantic Processing: An EEG study of Autism Spectrum Disorder

... disconnect between these two processes that should occur prior to the onset of semantic processing, i.e. before the N400 ERP component. A tool that has sufficient temporal resolution to capture rapid ...

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Semantic Data Pre-Processing for Machine Learning Based Bankruptcy Prediction Computational Model

Semantic Data Pre-Processing for Machine Learning Based Bankruptcy Prediction Computational Model

... In the future, we will investigate how other ML techniques for the prediction purposes can be plugged in and their effi- ciency. We will also study the supplement the OBP Ontology with new components taking into account ...

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Representation and processing of semantic ambiguity

Representation and processing of semantic ambiguity

... entail semantic competition due to weak and delayed activation of the alternative meaning in minimal ...of semantic priming for the HF and the LF meaning of balanced and unbalanced homonyms, focusing again ...

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Data Pre Processing and Customized Onto Graph Construction for Knowledge Extraction in Healthcare Domain of Semantic Web

Data Pre Processing and Customized Onto Graph Construction for Knowledge Extraction in Healthcare Domain of Semantic Web

... B. Data Cleaning Data collected from real world will be generally incomplete and noisy in majority of the cases. Incomplete data are termed as missing values and may be caused due to human errors, type mismatches, for ...

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The Effects of Semantic Priming on Lexical Processing

The Effects of Semantic Priming on Lexical Processing

... Lexical processing of targets is facilitated by orthographically similar masked nonword primes and is inhibited by orthographically similar masked word primes (Davis & Lupker, ...visible semantic primes at ...

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Lexical-semantic processing in bilingual children

Lexical-semantic processing in bilingual children

... Each session lasted approximately 2 hours, of which the measurement itself took about 30 minutes. Parents gave their informed consent prior to the measurements. At the beginning of each session the subject’s ...

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ONTOLOGY IN ASSOCIATION RULES PRE-PROCESSING AND POST-PROCESSING

ONTOLOGY IN ASSOCIATION RULES PRE-PROCESSING AND POST-PROCESSING

... the semantic enhancements made in either the pre-processing or post-processing phase, we used the the Adult and Labor Databases from the UCI Machine Learning Repository (Merz,1998) and the ...

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Semantic Programming by Example with Pre-trained Models

Semantic Programming by Example with Pre-trained Models

... Fig. 1. Transformations on dates require a combination of syntactic processing and semantic knowledge. Large, autoregressive language models can be taught to extract such knowledge in just a few examples. ...

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Establishing semantic closeness in an agent-based travel support system

Establishing semantic closeness in an agent-based travel support system

... The second assumption means that relations are weighted according to their semantic importance. Let us now consider two aspects of a restaurant: availability of live music and type of cuisine. In general, we can ...

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A Novel and Hybrid Ontology Ranking Framework using Semantic Closeness Measure

A Novel and Hybrid Ontology Ranking Framework using Semantic Closeness Measure

... of semantic web search engines, Swoogle is placed first, which ranks the ontologies using an adaptation of Google’s Page Rank scoring ...proposes Semantic Closeness Measure (SCM) which has not been ...

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Semantic for Text Processing

Semantic for Text Processing

... SEMANTIC FOR TEXT PROCESSING SEMANTIC FOR TEXT PROCESSING Jean Guy Meunier Universit~ du Quebec ~ Montreal Summary Computer text processing is defined formally as a ordered set of sentences on which v[.] ...

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Towards Semantic KPI Measurement

Towards Semantic KPI Measurement

... OWL-Q KPI Extension good yes excellent yes yes both all BP, SE, Inf be considered as the most prominent. The only mod- elling work close to ours is the one in (del R´ıo-Ortega et al., 2016). However, that work does not ...

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Semantic processing in a coma patient

Semantic processing in a coma patient

... Keywords Coma; consciousness; event-related potentials (ERP); late positive complex; N400; language. Introduction The opinion, that patients in acute coma may understand speech, is based on very indirect and thus ...

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Pre Processing MRSes

Pre Processing MRSes

... So far, we have connected types for each Ep together, but sometimes a more detailed structure is required in order to express meaning. A part of one structure can connect to a part of another. In the examples: “the cat ...

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Semantic Processing of Compounds in Indian Languages

Semantic Processing of Compounds in Indian Languages

... 1 Introduction Noun compounds represent a linguistic device of encrypting information that makes their analysis a challenging NLP task. For example, consider a compound ‘ballpoint pen’. It is made up of two nouns: a ...

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OntoSem Methods for Processing Semantic Ellipsis

OntoSem Methods for Processing Semantic Ellipsis

... first at a rough grain size, then at a finer grain size with each iterative improvement of the system. In order both to drive and to organize work, we develop a “microthe- ory” for each aspect of text processing ...

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Efficient Logical Inference for Semantic Processing

Efficient Logical Inference for Semantic Processing

... of semantic parsing, we can build systems that understand natural lan- guage texts deeply: logic implies (in)consistency, which is in turn used as signals to produce more accurate semantic ...in ...

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CLOUD BASED SEMANTIC EVENT PROCESSING FOR

CLOUD BASED SEMANTIC EVENT PROCESSING FOR

... Event Processing The term Complex Event Processing (CEP) refers to the abstraction technique, where sets of low-level events are aggregated by means of event pattern (rule) descriptions, into abstracted ...

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