Arabic Natural Language Processing and Machine Learning-Based Systems

Machine Learning in Natural Language Processing

This thesis examines the use of machine learning techniques in various tasks of natural language processing, mainly for the task of information extraction from texts. The objectives are the improvement of adaptability of information extraction systems to new thematic domains (or even languages), and the improvement of their performance using as fewer resources (either linguistic or human) as po...

Machine Learning in Natural Language Processing

Machine learning is concerned with acquiring knowledge from an environment in a computational manner, in order to improve the performance. (See Langley [15] for overview of ML.) Many forces over the past couple of decades have seen the blending of ML and NLP become increasingly common. The ever expanding availability of large corpora; more powerful computing resources; and a greater demand for ...

Machine Learning in Natural Language Processing

2 Tagging 5 2.1 PoS tagging . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.1 Features for PoS Tagging . . . . . . . . . . . . . . . . 6 2.1.2 PoS Tagging Results for Different Languages . . . . . 7 2.2 Named Entity Recognition . . . . . . . . . . . . . . . . . . . . 8 2.2.1 One-step vs Two-step Classification . . . . . . . . . . 8 2.2.2 Features for NER . . . . . . . . . . . . . ...

Development of Machine Learning based Natural Language Processing System

For disease diagnostic knowledge base system (including Q&A, consistency checker, and informativity checker) requiring higher degree of strictness on the results of a query to the system, at the development stage, great efforts are necessary to improve machine learning based statistical performance tests, measured by precision and recall rates, on the training error and prediction. Performance ...

Knowledge management using machine learning, natural language processing and ontology