It takes the average reader and 32 minutes to read Extracting Structured Information from Wikipedia Articles to Populate Infoboxes by Dustin Lange
Assuming a reading speed of 250 words per minute. Learn more
Roughly every third Wikipedia article contains an infobox - a table that displays important facts about the subject in attribute-value form. The schema of an infobox, i.e., the attributes that can be expressed for a concept, is defined by an infobox template. Often, authors do not specify all template attributes, resulting in incomplete infoboxes. With iPopulator, we introduce a system that automatically populates infoboxes of Wikipedia articles by extracting attribute values from the article's text. In contrast to prior work, iPopulator detects and exploits the structure of attribute values for independently extracting value parts. We have tested iPopulator on the entire set of infobox templates and provide a detailed analysis of its effectiveness. For instance, we achieve an average extraction precision of 91% for 1,727 distinct infobox template attributes.
Extracting Structured Information from Wikipedia Articles to Populate Infoboxes by Dustin Lange is 32 pages long, and a total of 8,064 words.
This makes it 11% the length of the average book. It also has 10% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 44 minutes to read Extracting Structured Information from Wikipedia Articles to Populate Infoboxes aloud.
Extracting Structured Information from Wikipedia Articles to Populate Infoboxes is suitable for students ages 8 and up.
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