- Towards an active learning system for company name disambiguation in microblog streams
- CEUR Workshop Proceedings
- Number of pages
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
In this paper we describe the collaborative participation of UvA & UNED at RepLab 2013. We propose an active learning approach for the filtering subtask, using features based on the detected semantics in the tweet (using Entity Linking with Wikipedia), as well as tweet-inherent features such as hashtags and usernames. The tweets manually inspected during the active learning process is at most 1% of the test data. While our baseline does not perform well, we can see that active learning does improve the results.
- Final publisher version
- Other links
- issue contents
- CLEF2013 Working Notes: working notes for CLEF 2013 Conference: Valencia, Spain, September 23-26, 2013
Editors: P. Forner, R. Navigli, D. Tufis, N. Ferro
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