Better call Saul: Flexible Programming for Learning and Inference in NLP

1 code implementation • COLING 2016 • Parisa Kordjamshidi, Daniel Khashabi, Christos Christodoulopoulos, Bhargav Mangipudi, Sameer Singh, Dan Roth

We present a novel way for designing complex joint inference and learning models using Saul (Kordjamshidi et al., 2015), a recently-introduced declarative learning-based programming language (DeLBP).

Part-Of-Speech Tagging Probabilistic Programming +1