Work

Open question answering over curated and extracted knowledge bases

Year: 2014

Type: conference-paper

Source: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI: 10.1145/2623330.2623677

Authors: Anthony Fader, Luke Zettlemoyer, Oren Etzioni

Institutions: Allen Institute for Artificial Intelligence, University of Washington

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: University of Washington, Defense Advanced Research Projects Agency, Office of Naval Research, Army Research Office

Awards: G1746478, G7355594076, G8992927305

OpenAlex ID: W2090243146

FWCI: 24.02

Cites: 32

Cited by: 419

Related to: 10