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Understanding and Generating Dialogue between Characters in Stories: Limitations and References

by Teleplay Technology May 9th, 2024

Too Long; Didn't Read

Exploring machine understanding of story dialogue via new tasks and dataset, improving coherence and speaker recognition in storytelling AI.

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Authors:

(1) Jianzhu Yao, The CoAI group, Tsinghua University, Beijing, China Department of Computer Science and Technology, Tsinghua University, Beijing, China Beijing National Research Center for Information Science and Technology;

(2) Ziqi Liu, The CoAI group, Tsinghua University, Beijing, China Department of Computer Science and Technology, Tsinghua University, Beijing, China Beijing National Research Center for Information Science and Technology;

(3) Jian Guan, The CoAI group, Tsinghua University, Beijing, China Department of Computer Science and Technology, Tsinghua University, Beijing, China Beijing National Research Center for Information Science and Technology;

(4) Minlie Huang, The CoAI group, Tsinghua University, Beijing, China Department of Computer Science and Technology, Tsinghua University, Beijing, China Beijing National Research Center for Information Science and Technology.

Table of Links

Limitations and References

10 Limitations

For the DialSpk task, in the test set, there are 150 stories, and a total of 728 masked dialogue positions, and in the validation, there are 100 stories and 505 positions. For the DAC score, there is enough data to evaluate the models’ performance. The dataset is small to some degree for the SAC evaluation. Although the validity of our model could be reflected in this dataset, we also plan to augment this annotated dataset for future research.

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