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
—