- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-1413
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Auto-regressive extractive summarization with replacement ; day:9 ; month:12 ; year:2022 ; pages:1-24
World wide web ; (9.12.2022), 1-24
- Urheber
-
Zhu, Tianyu
Hua, Wen
Qu, Jianfeng
Hosseini, Saeid
Zhou, Xiaofang
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11280-022-01108-0
- URN
-
urn:nbn:de:101:1-2023021909174177665412
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhu, Tianyu
- Hua, Wen
- Qu, Jianfeng
- Hosseini, Saeid
- Zhou, Xiaofang
- SpringerLink (Online service)
Ähnliche Objekte (12)
Improving extractive dialogue summarization by utilizing human feedback
Multi-Task Learning for Abstractive and Extractive Summarization
Improving extractive dialogue summarization by utilizing human feedback
lCARE – localizing Conditional AutoRegressive Expectiles
Extractive Arabic Text Summarization Using PageRank and Word Embedding
Clustering-based topic modeling for biomedical documents extractive text summarization
Single Image Video Prediction with Auto-Regressive GANs
Features in extractive supervised single-document summarization: case of Persian news
Extractive summarization of Malayalam documents using latent Dirichlet allocation: An experience
Leveraging peer-review aspects for extractive and abstractive summarization of scientific articles
Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer
EXABSUM: a new text summarization approach for generating extractive and abstractive summaries
Improving extractive dialogue summarization by utilizing human feedback
Multi-Task Learning for Abstractive and Extractive Summarization
Improving extractive dialogue summarization by utilizing human feedback
lCARE – localizing Conditional AutoRegressive Expectiles
Extractive Arabic Text Summarization Using PageRank and Word Embedding
Clustering-based topic modeling for biomedical documents extractive text summarization
Single Image Video Prediction with Auto-Regressive GANs
Features in extractive supervised single-document summarization: case of Persian news
Extractive summarization of Malayalam documents using latent Dirichlet allocation: An experience
Leveraging peer-review aspects for extractive and abstractive summarization of scientific articles
Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer
EXABSUM: a new text summarization approach for generating extractive and abstractive summaries
Improving extractive dialogue summarization by utilizing human feedback
Multi-Task Learning for Abstractive and Extractive Summarization
Improving extractive dialogue summarization by utilizing human feedback
lCARE – localizing Conditional AutoRegressive Expectiles
Extractive Arabic Text Summarization Using PageRank and Word Embedding
Clustering-based topic modeling for biomedical documents extractive text summarization
Single Image Video Prediction with Auto-Regressive GANs
Features in extractive supervised single-document summarization: case of Persian news
Extractive summarization of Malayalam documents using latent Dirichlet allocation: An experience
Leveraging peer-review aspects for extractive and abstractive summarization of scientific articles
Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer