Reducing supervision in Sequence Labeling
- Authors
- Jim?nez Illescas, Juan Carlos
- Format
- MasterThesis
- Status
- publishedVersion
- Description
Nowadays information extraction is an important application in Artificial Intelligence topic. This task is especially complex considering that lexical recognition stills one of the most complex process of the human being. In this project, we learned the aspects related to a particular categorization of words known as Named Entity Recognition, whose aim is to group entities according to the function embedded in it. We also learned about probabilistic algorithms, called Conditional Random Fields, used to perform labeling tasks on different datasets.
- Publication Year
- 2016
- Language
- eng
- Topic
- JAVA
NERs
MACHINE LEARNING
ROSEAnn
- Repository
- Repositorio SENESCYT
- Rights
- openAccess
- License