Knowledge Base Population from Text and Graphs
- đ¤ Speaker: Lucas Sterckx (University of Ghent)
- đ Date & Time: Thursday 09 March 2017, 11:00 - 12:00
- đ Venue: SR-24, English Faculty Building, 9 West Road (Sidgwick Site)
Abstract
Extracting knowledge from Web pages, and integrating it into a knowledge base (KB) is a task that spans the areas of natural language processing, information extraction, databases and machine learning. Recent years have witnessed a proliferation of large-scale KBs in academia and industry. Most prominently, major search engine providers (Google, Microsoft Bing, and Yahoo!) now include KBs in their products. This talk discusses mining and growing of knowledge bases from two perspectives.
Series This talk is part of the Language Technology Lab Seminars series.
Included in Lists
- bld31
- Cambridge Centre for Data-Driven Discovery (C2D3)
- Cambridge Forum of Science and Humanities
- Cambridge Language Sciences
- Cambridge talks
- Chris Davis' list
- Guy Emerson's list
- Interested Talks
- Language Sciences for Graduate Students
- Language Technology Lab Seminars
- ndk22's list
- ob366-ai4er
- rp587
- Simon Baker's List
- SR-24, English Faculty Building, 9 West Road (Sidgwick Site)
- Trust & Technology Initiative - interesting events
- yk449
Note: Ex-directory lists are not shown.
![[Talks.cam]](/static/images/talkslogosmall.gif)


Thursday 09 March 2017, 11:00-12:00