This paper describes the development of a scalable process for people and machines working together to identify sections of text that reflect specific human values. A total of 2,005 sentences from 28 prepared testimonies presented before hearings on Net neutrality were manually annotated for one or
β¦ LIBER β¦
Classifier chains for multi-label classification
β Scribed by Jesse Read; Bernhard Pfahringer; Geoff Holmes; Eibe Frank
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Weight
- 856 KB
- Volume
- 85
- Category
- Article
- ISSN
- 0885-6125
No coin nor oath required. For personal study only.
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