Improving a human-computer dialogue
Communications of the ACM
An efficient context-free parsing algorithm
Communications of the ACM
Yet another chart-based technique for parsing ill-formed input
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
Some chart-based techniques for parsing ill-formed input
ACL '89 Proceedings of the 27th annual meeting on Association for Computational Linguistics
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Headings as used in many research articles play a significant role in helping readers to easily understand the organization of documents as well as the relative importance of sections. These headings are usually words or word-sequences which do not constitute full sentences. Despite the available text and speech parsing applications, none is designed towards parsing of such fragmentary word-sequences. We tackle this challenge by designing an application which implements active chart parser (ACP) using java technology. The system is designed to parse headings using context free phrase structure grammar. We present in this paper the study of the evaluators' perception and usability of the system. The result shows that most of the users rated the system very efficient, easy to use, and satisfactory. Apart from the system's heading parsing ability, the available text and speech processing systems can benefit immensely from integration with the application.