Work

Be Appropriate and Funny: Automatic Entity Morph Encoding

Year: 2014

Type: conference-paper

Abstract: Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bulent Yener. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2014.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.3115/v1/p14-2115

Authors: Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bulent Yener

Institutions: Rensselaer Polytechnic Institute, University of Southern California, IBM Research - Thomas J. Watson Research Center, Northeastern University, Northeastern University, University of Illinois Urbana-Champaign

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Defense Advanced Research Projects Agency

Awards: G4713059963, G523448137

OpenAlex ID: W2149710368

FWCI: 0.981

Cites: 18

Cited by: 19

Related to: 10