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Integrating Machine Learning and Symbolic Reasoning: Learning to Generate Symbolic Representations from Weak Supervision

Description:

Machine learning and symbolic reasoning have been two main approaches to build intelligent systems. Symbolic reasoning has been used in many applications by making use of expressive symbolic representations to encode prior knowledge, conduct complex reasoning and provide explanations. Recently, machine learning has enabled various successful applications by learning from...

Keyword:

Structural Alignment, Structured Prediction, Semantic Parsing, Machine Learning, Reinforcement Learning, and Symbolic Reasoning

Subject:

Computer Science

Creator:

Chen Liang

Owner:

Scholarly Digital Publishing

Date Uploaded:

10/28/2019

Date Modified:

10/28/2019

Date Created:

2018-01-01

Resource Type:

Dissertation