E2E: An end-to-end entity linking system for short and noisy text

CEUR Workshop Proceedings

Volumn 1141, Issue , 2014, Pages 62-63

  Chang, Ming Wei ^a   Hsu, Bo June ^a   Ma, Hao ^a   Loynd, Ricky ^a   Wang, Kuansan ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

Entity linking; Information extraction; Social media

Indexed keywords

INFORMATION RETRIEVAL; SOCIAL NETWORKING (ONLINE); WORLD WIDE WEB;

CONTENT ANALYSIS; END TO END; ENTITY LINKING; ENTITY RECOGNITION; MICROBLOGS; SHORT TEXTS; SOCIAL MEDIA;

CHARACTER RECOGNITION;

EID: 84922067180     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. A. E. Cano Basave, G. Rizzo, A. Varga, M. Rowe, M. Stankovic, and A.-S. Dadzie. Making Sense of Microposts (#Microposts2014) Named Entity Extraction & Linking Challenge. In Proc., #Microposts2014, pages 54-60, 2014.
2. M.-W. Chang and W.-T. Yih. Dual coordinate descent algorithms for efficient large margin structured prediction. TACL, 2013.
3. J. H. Friedman. Greedy function approximation: A gradient boosting machine. Annals of Statistics, 1999.
4. B.-J. P. Hsu and G. Ottaviano. Space-efficient data structures for top-k completion. In WWW, 2013.