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Bootstrapping Techniques for Text Mining

Original Event Webpage: www.nesc.ac.uk/esi/events/386/

Acrobat Reader Version 5.0 is required to view some of the documents listed below.

Title Formats Available
- 09.30- Background to SEER Proposal PowerPoint Format [PPT] (0.03 MB)
- 09.35- Issues in NERC of Locations Adobe PDF Format [PDF] (0.03 MB)
- 09.35- NER for the RCAHMS Data Adobe PDF Format [PDF] (0.24 MB)
- 10.05- The Biocreative Task in SEER PowerPoint Format [PPT] (0.83 MB)
- 10.35- Machine Learning for SEER Adobe PDF Format [PDF] (0.05 MB)
- 11.30- Bootstrapping POS taggers using unlabelled data Adobe PDF Format [PDF] (0.13 MB)
- 11.50- Active Learning for Named Entity Recognition Adobe PDF Format [PDF] (0.06 MB)
- 12.10- Training Taggers on Labelled and Unlabelled Data Adobe PDF Format [PDF] (0.22 MB)
- 12.30- Statistical Models for Named Entity Recognition Adobe PDF Format [PDF] (0.17 MB)
- Summary Report Adobe PDF Format [PDF] (0.04 MB)






Last Updated: 22 Jun 12 11:02
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