Titlebook: Masters Theses in the Pure and Applied Sciences; Accepted by Colleges Wade H. Shafer Book 1975 Springer Science+Business Media New York 197

unstable-angina

Wade H. Shaferested on a number of ontologies, both English and Arabic. Results of the evaluation indicate that the system was able to provide necessary componential formulae for highly-axiomed ontologies. With regards to computing lexical relations, the system performs better when predicting antonyms, with an av

Alpha-Cells

Wade H. Shaferf these three elements in a query mechanism for Linked Data is a new contribution in the space. Wikipedia-based relatedness measures address existing limitations of existing works which are based on similarity measures/term expansion based on WordNet. Experimental results using the query mechanism t

maverick

Dignant

Systems, held at the University of Salford, UK d- ing June 23-25, 2004. NLDB04 follows on the success of previous conferences held since 1995. Early conferences then known as Application of Natural Language to Databases, hence the acronym NLDB, were used as a forum to discuss and disse- nate resear

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Wade H. Shaferences where the word or words are used in an inappropriate sense. This task could be exploited in internet browsers, and resource discovery systems, relational databases containing free text fields, electronic document management systems, data warehouse and data mining systems, etc. In order to reso

scrape

Senescent

Wade H. Shafer the usage of deep networks for sequential classification of unconstrained handwriting recognition task. However, the recognition of “Hinglish” language faces various unseen problems. Hinglish is a portmanteau of Hindi and English, involving frequent code-switching between the two languages. Million

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Wade H. Shaferssue of developing automated systems for a deep analysis of users’ generated contents and interactions is becoming increasingly relevant. In particular, when we focus on the domain of online political debates, interest for the automatic classification of users’ stance towards a given entity, like a

Chagrin

Wade H. Shaferve. Moreover, structured patient records often fail to effectively capture the nuances of patient-specific observations noted in doctors’ unstructured clinical notes and diagnostic reports. Automated techniques that utilize such unstructured text reports for modeling useful clinical information for

ferment