Generating academic abstracts: controlled text generation using metrics from a target text allows for transparency in the absence of specialized knowledge

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F23%3A00059963" target="_blank" >RIV/61384399:31140/23:00059963 - isvavai.cz</a>

Result on the web

<a href="https://ceur-ws.org/Vol-3571/regular2.pdf" target="_blank" >https://ceur-ws.org/Vol-3571/regular2.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Generating academic abstracts: controlled text generation using metrics from a target text allows for transparency in the absence of specialized knowledge

Original language description

Main topics of the document: natural language generation; controllable text generation; rule-based generation; explainable ai; academic abstracts; stylistic metrics

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/TH74010002" target="_blank" >TH74010002: Countering Creative Information Manipulation with Explainable AI</a><br>

Continuities

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

Publication year

2023

Confidentiality

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

Article name in the collection

Proceedings of the Workshop on GENerative, Explainable and Reasonable Artificial Learning co-located with the 15th Biannual Conference of the Italian SIGCHI Chapter (CHITALY 2023)

ISBN

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ISSN

1613-0073

e-ISSN

1613-0073

Number of pages

12

Pages from-to

"nestrankovano"

Publisher name

CEUR Workshop Proceedings

Place of publication

Německo

Event location

Torino

Event date

Sep 20, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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