Mitigating the Paucity-of-Data Problem: Exploring the Effect of Training Corpus Size on Classifier Performance for Natural Language Processing - ACL Anthology

This is an internal, incomplete preview of a proposed change to the ACL Anthology. For efficiency reasons, we don't generate MODS or Endnote formats, and the preview may be incomplete in other ways, or contain mistakes. Do not treat this content as an official publication.

Mitigating the Paucity-of-Data Problem: Exploring the Effect of Training Corpus Size on Classifier Performance for Natural Language Processing

Michele Banko, Eric Brill

Anthology ID:: H01-1052
Volume:: Proceedings of the First International Conference on Human Language Technology Research
Month:
Year:: 2001
Address:
Venue:: HLT
SIG:
Publisher:
Note:
Pages:
Language:
URL:: https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/H01-1052/
DOI:
Bibkey:
Cite (ACL):: Michele Banko and Eric Brill. 2001. Mitigating the Paucity-of-Data Problem: Exploring the Effect of Training Corpus Size on Classifier Performance for Natural Language Processing. In Proceedings of the First International Conference on Human Language Technology Research.
Cite (Informal):: Mitigating the Paucity-of-Data Problem: Exploring the Effect of Training Corpus Size on Classifier Performance for Natural Language Processing (Banko & Brill, HLT 2001)
Copy Citation:
PDF:: https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/H01-1052.pdf

PDF Cite Search Fix data