Abstract
An integrated narrative generation system, which we develop, generates an event concept by referring to noun and verb concepts than a conceptual dictionary. However, the noun and verb concepts were selected at random. Considering the choice of the noun concept, we used the frequency information and co-occurrence information. Furthermore, we implement a similar method considering the verb concept selection. The method of the verb concept selection based on frequency information assumed in this paper premises that the appearance frequency of all concepts is prepared for. When it is extreme that all the candidates of a certain verb concept are of frequency 0, the concept of selection based on the frequency is in good agreement with the conventional random selection without functioning. Therefore, we suggest a method using the co-occurrence information between the concepts. We demonstrate a calculation result of the frequency information using the co-occurrence information in the verb concept when the frequency information becomes 0, in particular in the calculation method of the frequency information.
Highlights
The authors have developed a narrative generation system known as an integrated narrative generation system (INGS)(1-3)
The method of the verb concept selection is based on frequency information
We plan an estimate of the frequency information from the study of “Riichi Yokomitsu” and other authors used the condition by “Aozora Bunko” This experiment is intended to examine confirmation of the validity of the method and other methods from the tendency confirmation of every plural writer
Summary
The authors have developed a narrative generation system known as an integrated narrative generation system (INGS)(1-3). The INGS generates narrative events and sentences according to two types of macro level parts i.e., generation mechanism and knowledge mechanism. The former is divided into three main elements that include the story generation mechanism, discourse mechanism, and surface generation mechanism. The main elements of the latter are conceptual dictionaries (for noun concepts and verb concepts ), language notation (letter notation) dictionary, and state-event transformation knowledge base. The most important element of a story structure generated by the story generation mechanism is an event that consists of the verb concept and the corresponding noun concept. The method of the verb concept selection is based on frequency information
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