Difference between revisions of "Information Extraction from Wikipedia Articles Using Deepdive"
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| − | '''Information Extraction from Wikipedia Articles Using Deepdive''' - scientific work related to Wikipedia quality published in 2018, written by Deepti Ameta and Pokhar Mal Jat. | + | '''Information Extraction from Wikipedia Articles Using Deepdive''' - scientific work related to [[Wikipedia quality]] published in 2018, written by [[Deepti Ameta]] and [[Pokhar Mal Jat]]. |
== Overview == | == Overview == | ||
| − | Mining the required information from an enormous amount of data is a critical task. It is arduous to deal with the heterogeneity of astronomically immense data. Withal processing and analyzing it requires a number of resources. In the proposed work, information extraction (relation extraction between two Named entity mentions) from Wikipedia text articles using DeepDive has been carried out. Authors have experimented Deep-Dive's challenging capabilities for relation extraction, mention extraction and have calculated the probabilities of every variable being true via statistical learning and inference. Further authors have tested results by plotting calibration plots on training data set and on whole data set by considering performance measures to check its efficiency on Wikipedia articles. | + | Mining the required information from an enormous amount of data is a critical task. It is arduous to deal with the heterogeneity of astronomically immense data. Withal processing and analyzing it requires a number of resources. In the proposed work, [[information extraction]] (relation extraction between two Named entity mentions) from [[Wikipedia]] text articles using DeepDive has been carried out. Authors have experimented Deep-Dive's challenging capabilities for relation extraction, mention extraction and have calculated the probabilities of every variable being true via statistical learning and inference. Further authors have tested results by plotting calibration plots on training data set and on whole data set by considering performance [[measures]] to check its efficiency on Wikipedia articles. |
Revision as of 10:19, 5 December 2019
Information Extraction from Wikipedia Articles Using Deepdive - scientific work related to Wikipedia quality published in 2018, written by Deepti Ameta and Pokhar Mal Jat.
Overview
Mining the required information from an enormous amount of data is a critical task. It is arduous to deal with the heterogeneity of astronomically immense data. Withal processing and analyzing it requires a number of resources. In the proposed work, information extraction (relation extraction between two Named entity mentions) from Wikipedia text articles using DeepDive has been carried out. Authors have experimented Deep-Dive's challenging capabilities for relation extraction, mention extraction and have calculated the probabilities of every variable being true via statistical learning and inference. Further authors have tested results by plotting calibration plots on training data set and on whole data set by considering performance measures to check its efficiency on Wikipedia articles.
