Data oriented design is an umbrella term for a large collections of techniques and conditions under which those techniques should be used. In general the goal is to analyse the access patterns of the different kinds of data in an application, and select data structures thatfor those access patte...
Weakly supervised learning is an umbrella term referring to methods for training classifiers using imperfect, indirect, or limited labeled data and includes techniques such as distant supervision26,27, co-training28, and others29. Prior approaches for weakly supervised NER such as cotraining use a ...
Data oriented design is an umbrella term for a large collections of techniques and conditions under which those techniques should be used. In general the goal is to analyse the access patterns of the different kinds of data in an application, and select data structures thatfor those access patte...