Machine learning and automatic linguistic analysis: the next step
Eric Brill · 2002
In order to continue building systems with progressively more complex natural language capabilities, it is crucial that great strides are made toward solving the core linguistic analysis problems for complex and possibly unrestricted domains. A great deal of progress has been made by applying machine learning techniques to automatically train systems from manually annotated corpora to provide detailed linguistic analyses to sentences. This paper examines a number of issues within this paradigm of automatic linguistic knowledge acquisition and how they relate to pushing progress in the field of natural language processing over the next decade.