Difference between revisions of "102113Notes"

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# Provide Interface for NEL with external KB in Argument Identification (11/6)
 
# Provide Interface for NEL with external KB in Argument Identification (11/6)
 
# Run Original Multir Algorithm with new implementation (11/8)
 
# Run Original Multir Algorithm with new implementation (11/8)
# Add noise-reduction, negative examples components (11/13)
+
# Run Multir with NEL-Argument Identification
# Extend Preprocessing interface to allow for custom preprocessing schemes (11/13)
+
# Extend Preprocessing interface to allow for custom preprocessing schemes  
# Establish working web-demo (11/20)
+
# Establish working web-demo  
 +
# Add noise-reduction component and negative example components

Revision as of 00:25, 24 October 2013

Log

October 23 2013 Meeting

We discussed the three major user groups.

  1. NLP Researchers - customize feature generation, argument identification, noise reduction, etc.
  2. Power Users - use custom knowledge bases and relations
  3. 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:

  1. NEL-capability for Argument Identification
  2. Negative Examples
  3. Noise Reduction Component


Milestones/Goals

  1. Generate Distant Supervision data from preprocessed corpus. (10/29)
  2. Run Preprocessing code on new textual data (1/1)
  3. Provide Interface for NEL with external KB in Argument Identification (11/6)
  4. Run Original Multir Algorithm with new implementation (11/8)
  5. Run Multir with NEL-Argument Identification
  6. Extend Preprocessing interface to allow for custom preprocessing schemes
  7. Establish working web-demo
  8. Add noise-reduction component and negative example components