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Active Learning for Abstractive Text Summarization

Active Learning for Abstractive Text Summarization

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
9 January 2023
Akim Tsvigun
Ivan Lysenko
Danila Sedashov
Ivan Lazichny
Eldar Damirov
Vladimir E. Karlov
Artemy Belousov
Leonid Sanochkin
Maxim Panov
Sergey Petrakov
Andrey Kravchenko
Artem Shelmanov
ArXiv (abs)PDFHTML

Papers citing "Active Learning for Abstractive Text Summarization"

5 / 5 papers shown
Title
DUAL: Diversity and Uncertainty Active Learning for Text Summarization
Petros Stylianos Giouroukis
Alexios Gidiotis
Grigorios Tsoumakas
172
1
0
02 Mar 2025
Language Model-Driven Data Pruning Enables Efficient Active Learning
Language Model-Driven Data Pruning Enables Efficient Active Learning
Abdul Hameed Azeemi
I. Qazi
Agha Ali Raza
VLM
227
4
0
05 Oct 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Xue Liu
Weiping Ding
Manabu Okumura
440
84
0
01 May 2024
Active Learning for Natural Language Generation
Active Learning for Natural Language GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yotam Perlitz
Ariel Gera
Michal Shmueli-Scheuer
D. Sheinwald
Noam Slonim
L. Ein-Dor
304
4
0
24 May 2023
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
267
75
0
18 Oct 2022
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