S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking

Anthology ID:: P15-1049
Volume:: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:: July
Year:: 2015
Address:: Beijing, China
Editors:: Chengqing Zong, Michael Strube
Venues:: ACL | IJCNLP
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 504–513
Language:
URL:: https://preview.aclanthology.org/icon-24-ingestion/P15-1049/
DOI:: 10.3115/v1/P15-1049
Bibkey:
Cite (ACL):: Yi Yang and Ming-Wei Chang. 2015. S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 504–513, Beijing, China. Association for Computational Linguistics.
Cite (Informal):: S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking (Yang & Chang, ACL-IJCNLP 2015)
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PDF:: https://preview.aclanthology.org/icon-24-ingestion/P15-1049.pdf