I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions - ACL Anthology

This is an internal preview of the ACL Anthology that may be incomplete and contain mistakes. Do not treat this content as an official publication.

I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions

William Yang Wang, Miaomiao Wen

Anthology ID:: N15-1039
Volume:: Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Month:: May–June
Year:: 2015
Address:: Denver, Colorado
Editors:: Rada Mihalcea, Joyce Chai, Anoop Sarkar
Venue:: NAACL
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 355–365
Language:
URL:: https://aclanthology.org/N15-1039
DOI:: 10.3115/v1/N15-1039
Bibkey:
Cite (ACL):: William Yang Wang and Miaomiao Wen. 2015. I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 355–365, Denver, Colorado. Association for Computational Linguistics.
Cite (Informal):: I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions (Wang & Wen, NAACL 2015)
Copy Citation:
PDF:: https://preview.aclanthology.org/improve-issue-templates/N15-1039.pdf