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GPT-2-based Human-in-the-loop Theatre Play Script Generation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384984%3A51210%2F22%3AN0000019" target="_blank" >RIV/61384984:51210/22:N0000019 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/22:10457086

  • Result on the web

    <a href="https://aclanthology.org/2022.wnu-1.4/" target="_blank" >https://aclanthology.org/2022.wnu-1.4/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18653/v1/2022.wnu-1.4" target="_blank" >10.18653/v1/2022.wnu-1.4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    GPT-2-based Human-in-the-loop Theatre Play Script Generation

  • Original language description

    We experiment with adapting generative language models for the generation of long coherent narratives in the form of theatre plays. Since fully automatic generation of whole plays is not currently feasible, we created an interactive tool that allows a human user to steer the generation somewhat while minimizing intervention. We pursue two approaches to long-text generation: a flat generation with summarization of context, and a hierarchical text-to-text two-stage approach, where a synopsis is generated first and then used to condition generation of the final script. Our preliminary results and discussions with theatre professionals show improvements over vanilla language model generation, but also identify important limitations of our approach.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    60403 - Performing arts studies (Musicology, Theater science, Dramaturgy)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 4th Workshop of Narrative Understanding (WNU2022)

  • ISBN

    978-1-955917-85-8

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    29-37

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Seattle, WA, USA

  • Event location

    2022-07-15

  • Event date

    Jul 15, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article