Difference between revisions of "User talk:Xxiong"

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== Summary ==
 
== Summary ==
Task: NER from emails
+
Task: extract person names from emails
  
 
Techniques: treating NER as tagging. CRF model is used for this task.
 
Techniques: treating NER as tagging. CRF model is used for this task.

Revision as of 14:37, 8 October 2010

Citation

Einat Minkov, Richard C. Wang & William W. Cohen, Extracting Personal Names from Emails: Applying Named Entity Recognition to Informal Text, in HLT/EMNLP 2005

Online version

Extracting Personal Names from Emails

Summary

Task: extract person names from emails

Techniques: treating NER as tagging. CRF model is used for this task.

Contribution:

  • email-specific feature set

repetitions within single document are more often in newwires while repetitions occurred in multiple files are more often in emails.

Related papers

  • Search-based Structured Prediction: This is the journal version of the paper that introduces the SEARN algorithm - Daume_et_al,_ML_2009.