Principled Probabilistic Methods To Integrate Information From The Query Workload Into The Data Annotation Process

Abstract

The aspiration of CADS is to persuade and inferior the cost of crafting adequately interpreted documents that can be right away helpful for usually issued partially prearranged enquiries. Our solution ambition is to promote the annotation of the documents at creation time at the same time as the creator is still in the “document generation” segment even nonetheless the procedures can also be used for post generation document annotation. In our circumstances the author produces a new document and uploads it to the ordnance. We suggest Collaborative Adaptive Data Sharing platform (CADS) which is an “annotate-as-you create” communications that makes easy field data annotation. An explanation payment of our system is the straight use of the enquiry workload to straight the annotation processes in addition to exploratory the content of the document. In other words we are annoying to prioritize the annotation of documents toward generating characteristic values for attributes that are frequently used by querying users.

Authors and Affiliations

K Ramesh, P Arun Patnaik

Keywords

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  • EP ID EP28249
  • DOI -
  • Views 259
  • Downloads 3

How To Cite

K Ramesh, P Arun Patnaik (2015). Principled Probabilistic Methods To Integrate Information From The Query Workload Into The Data Annotation Process. International Journal of Research in Computer and Communication Technology, 4(9), -. https://europub.co.uk/articles/-A-28249