Difference between revisions of "102113Notes"
From Knowitall
| Line 9: | Line 9: | ||
The better the system is for the Novice user the more successful this project will be. | The better the system is for the Novice user the more successful this project will be. | ||
| + | |||
| + | |||
| + | Some Important Requirements we discussed: | ||
| + | # NEL-capability for Argument Identification | ||
| + | # Negative Examples | ||
| + | # Noise Reduction Component | ||
| + | |||
| + | |||
| + | Milestones/Goals | ||
| + | # Generate Distant Supervision data for NYT corpus with preprocessed corpus. (10/29) | ||
| + | # Run Preprocessing code on new textual data (1/1) | ||
| + | # Provide Interface for NEL with external KB in Argument Identification (11/6) | ||
| + | # Run Original Multir Algorithm with new interface (11/6) | ||
| + | # Add noise-reduction, negative examples components (11/13) | ||
| + | # Extend Preprocessing interface to allow for custom preprocessing schemes (11/13) | ||
| + | # Establish working web-demo (11/20) | ||
Revision as of 00:08, 24 October 2013
Log
October 23 2013 Meeting
We discussed the three major user groups.
- NLP Researchers - customize feature generation, argument identification, noise reduction, etc.
- Power Users - use custom knowledge bases and relations
- Novice User - uses out of the box system
The better the system is for the Novice user the more successful this project will be.
Some Important Requirements we discussed:
- NEL-capability for Argument Identification
- Negative Examples
- Noise Reduction Component
Milestones/Goals
- Generate Distant Supervision data for NYT corpus with preprocessed corpus. (10/29)
- Run Preprocessing code on new textual data (1/1)
- Provide Interface for NEL with external KB in Argument Identification (11/6)
- Run Original Multir Algorithm with new interface (11/6)
- Add noise-reduction, negative examples components (11/13)
- Extend Preprocessing interface to allow for custom preprocessing schemes (11/13)
- Establish working web-demo (11/20)
