Enhancing academic title generation using SciBERT and linguistic rules
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F23%3A00059962" target="_blank" >RIV/61384399:31140/23:00059962 - isvavai.cz</a>
Result on the web
<a href="https://ui.adsabs.harvard.edu/WIESP/2023/book.pdf" target="_blank" >https://ui.adsabs.harvard.edu/WIESP/2023/book.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Enhancing academic title generation using SciBERT and linguistic rules
Original language description
Main topics of the document: natural language generation; academic titles; SciBERT
Czech name
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Czech description
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Classification
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)
Result continuities
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)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 2nd Workshop on Information Extraction from Scientific Publication, Proceedings of WIESP 2023
ISBN
979-8-89176-020-2
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
74-83
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg
Event location
Bali
Event date
Nov 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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