mlsanityData to 14 Oct 2026

DYPLODOC: Dynamic Plots for Document Classification

arXiv 2107.12226 ↗First posted 26 Jul 2021cs.CL cs.AIcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 15 of its 28 references that are in the map. First posted on arXiv 26 Jul 2021.

Builds on

15 of 28 references.

References · 15

  1. 2016Deep Reinforcement Learning for Dialogue Generationcited by 288
  2. 2017Toward Controlled Generation of Textcited by 272
  3. 2019Strategies for Structuring Story Generationcited by 124
  4. 2017Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasmcited by 118
  5. 2019Story Realization: Expanding Plot Events into Sentencescited by 35
  6. 2019Adapting Language Models for Non-Parallel Author-Stylized Rewritingcited by 23
  7. 2016Chinese Poetry Generation with Planning based Neural Networkcited by 22
  8. 2018Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learningcited by 21
  9. 2019MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participantscited by 20
  10. 2019Style Transfer for Texts: Retrain, Report Errors, Compare with Rewritescited by 20
  11. 2018Guess who? Multilingual approach for the automated generation of author-stylized poetrycited by 10
  12. 2020Paranoid Transformer: Reading Narrative of Madness as Computational Approach to Creativitycited by 8
3 more
  1. 2019Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialoguecited by 6
  2. 2018Predicting Movie Genres Based on Plot Summariescited by 4
  3. 2017M2D: Monolog to Dialog Generation for Conversational Story Tellingcited by 1

Built on by

Cited by year

Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 1.

4 papers.