Abstract
We present a novel approach for detecting, classifying, and linking entities from Twitter posts (tweets). The task is challenging because of the noisy, short, and informal nature of tweets. Consequently, the proposed approach introduces several methods that robustly facilitate successful realization of the task with enhanced performance in several measures.
Original language | English |
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Title of host publication | CEUR Workshop Proceedings |
Publisher | CEUR-WS |
Pages | 55-56 |
Number of pages | 2 |
Volume | 1395 |
Publication status | Published - 2015 |
Event | 5th Workshop on Making Sense of Microposts: Big Things Come in Small Packages, #Microposts 2015, at the 24th International Conference on the World Wide Web, WWW 2015 - Florence, Italy Duration: 2015 May 18 → … |
Other
Other | 5th Workshop on Making Sense of Microposts: Big Things Come in Small Packages, #Microposts 2015, at the 24th International Conference on the World Wide Web, WWW 2015 |
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Country/Territory | Italy |
City | Florence |
Period | 15/5/18 → … |
Keywords
- DBpedia
- Entity linking
- Wikification
- Wikipedia
ASJC Scopus subject areas
- Computer Science(all)