A maximum entropy approach to information extraction from semi-structured and free text
作者： Hai Leong Chieu , Hwee Tou Ng
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摘要: In this paper, we present a classification-based approach towards single-slot as well multi-slot information extraction (IE). For IE, worked on the domain of Seminar Announcements, where each document contains only one seminar. Management Succession. domain, restrict ourselves to extracting sentence by sentence, in same way (Soderland 1999). Each can contain several management succession events. By using classification based maximum entropy framework, our system achieves higher accuracy than best previously published results both domains.
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