Filter-stream named entity recognition: A case study at the MSM2013 concept extraction challenge

CEUR Workshop Proceedings

Volumn 1019, Issue , 2013, Pages 71-75

  De Oliveira, Diego Marinho ^a   Laender, Alberto H F ^a   Veloso, Adriano ^a   Da Silva, Altigran S ^b  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b FEDERAL UNIVERSITY OF AMAZONAS   (Brazil)

Author keywords

CRF; FS NER; Named Entity Recognition; Twitter

Indexed keywords

EXTRACTION; FILTRATION; SOCIAL NETWORKING (ONLINE); TEXT PROCESSING; WEBSITES;

CONCEPT EXTRACTION; CRF; FS-NER; MICRO-BLOG; NAMED ENTITY RECOGNITION; POORLY WORDED; TWITTER; WEB SEARCHES;

WORLD WIDE WEB;

EID: 84922270869     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. D. M. de Oliveira, A. H. F. Laender, A. Veloso, and A. S. da Silva. FS-NER: A Lightweight Filter-Stream Approach to Named Entity Recognition on Twitter Data. In Proceedings of the 22nd International World Wide Web Conference (Companion Volume), pages 597-604, 2013.
2. K. Gimpel, N. Schneider, B. O'Connor, D. Das, D. Mills, J. Eisenstein, M. Heilman, D. Yogatama, J. Flanigan, and N. A. Smith. Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. In Proceedings of the Association for Computational Linguistics (Short Papers), pages 42-47, 2011.
3. A. Ritter, S. Clark, Mausam, and O. Etzioni. Named Entity Recognition in Tweets: An Experimental Study. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 1524-1534, 2011.