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Recent changes include the use of artificial intelligence (AI) tools and natural language processing to facilitate guided semantic search capabilities [citation needed] offered through cloud-based platforms that allow companies to score and sort resumes with better alignment to the job requirements and descriptions. With the advent of ATS ...
There exists a few papers that systematically compare various model checkers on a common case study. The comparison usually discusses the modelling tradeoffs faced when using the input languages of each model checker, as well as the comparison of performances of the tools when verifying correctness properties. One can mention:
Other tools included with the Turnitin suite are GradeMark (online grading and corrective feedback) and PeerMark (student peer-review service). In the UK, the service is supported and promoted by JISC as 'Plagiarism Detection Service Turnitin UK'. The Service is operated by iParadigms, in conjunction with Northumbria Learning, the European ...
BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.
AI tools can also be used to test résumés, [25] but AI-generated resume content must be rigorously verified and edited as generative AI produces very consistent sentence structure, and under different jobs with similar responsibilities, often repeats identical phrases.
BM25F defines each type of field as a stream, applying a per-stream weighting to scale each stream against the calculated score. BM25+ [7] is an extension of BM25. BM25+ was developed to address one deficiency of the standard BM25 in which the component of term frequency normalization by document length is not properly lower-bounded; as a ...
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