DYPLODOC: Dynamic Plots for Document Classification
This addresses narrative generation and analysis for NLP applications, but appears incremental as it focuses on a specific tool and dataset.
The paper tackled the problem of narrative analysis by proposing a feature extraction method for plot dynamics, validated on a dataset of 13,000 TV show descriptions with genre meta-information.
Narrative generation and analysis are still on the fringe of modern natural language processing yet are crucial in a variety of applications. This paper proposes a feature extraction method for plot dynamics. We present a dataset that consists of the plot descriptions for thirteen thousand TV shows alongside meta-information on their genres and dynamic plots extracted from them. We validate the proposed tool for plot dynamics extraction and discuss possible applications of this method to the tasks of narrative analysis and generation.