BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Knowledge Base Population from Text and Graphs - Lucas Sterckx (Un
 iversity of  Ghent)
DTSTART:20170309T110000Z
DTEND:20170309T120000Z
UID:TALK71405@talks.cam.ac.uk
CONTACT:Mohammad Taher Pilehvar
DESCRIPTION:Extracting knowledge from Web pages\, and integrating it into 
 a knowledge base (KB) is a task that spans the areas of natural language p
 rocessing\, information extraction\, databases and machine learning. Recen
 t years have witnessed a proliferation of large-scale KBs in academia and 
 industry. Most prominently\, major search engine providers (Google\, Micro
 soft Bing\, and Yahoo!) now include KBs in their products. This talk discu
 sses mining and growing of knowledge bases from two perspectives.
LOCATION: SR-24\, English Faculty Building\, 9 West Road (Sidgwick Site)
END:VEVENT
END:VCALENDAR
