Work

Domain Adaptation from User-level Facebook Models to County-level Twitter Predictions

Year: 2017

Type: conference-paper

Source: International Joint Conference on Natural Language Processing

Authors: Daniel Rieman, Kokil Jaidka, H. Andrew Schwartz, Lyle Ungar

Institutions: Adobe Systems (United States), Stony Brook University, University of Pennsylvania

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2771849569

FWCI: 1.432

Cites: 23

Cited by: 14

Related to: 10