Work

Discovering Potential Terminological Relationships from Twitter's Timed Content.

Year: 2016

Type: conference-paper

Source: International Conference on Computational Linguistics

Authors: Mohammad Daoud, Daoud Daoud

Institutions: American University of Madaba, Princess Sumaya University for Technology

Language: English

Topic: linguistics and terminology studies

Subfield: Language and Linguistics

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W2786824613

FWCI:

Cites: 15

Cited by:

Related to: 10