System for extracting data (facts) from large amount of unstructured documents
author:
Luka Bradeško,
Odsek za tehnologije znanja, Jožef Stefan Institute
You might be experiencing some problems with Your Video player.
| Slides | |
| 0:00 | System for extracting data (facts) from large amount of unstructured documents (INTERNET) |
| 0:41 | What are we solving |
| 1:29 | Extracting Nobel prize winners - 1 |
| 2:37 | Extracting Nobel prize winners - 2 |
| 3:07 | Extracting Nobel prize winners - 3 |
| 3:27 | Assessing the candidates |
| 5:04 | Bootstraping and feature selection |
| 7:59 | Pseudo code |
| 8:08 | Hit limit in search engines |
| 9:31 | Difficulties |
| 11:52 | Features problem |
| 12:44 | Features solution |
| 13:02 | Precision/recall |
| 13:50 | Conclusion |
| 14:40 | Further work |
Lecture rating
| People found this lecture: | ||
| Worth seeing | ||
| because it is: | ||
| Valuable and informative | ||
| Well presented | ||
| Easily understandable | ||
| Acceptably recorded | ||
| You need to login to cast your vote. | ||
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
SEE ALSO:
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !





