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Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection.

J. He, H. Su, J. Cai, I. Shalyminov, H. Song, and S. Mansour. NAACL-HLT, page 5976-5996. Association for Computational Linguistics, (2024)

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Igor Barabash

Das Bildzitat im InternetI. Barabash. Uni München, (2009)

Igor Smolitsch

Igor Popov

Igor Semechin

Igor Kasko

Other publications of authors with the same name

Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer.I. Shalyminov, A. Sordoni, A. Atkinson, and H. Schulz. ICASSP, page 8039-8043. IEEE, (2020)Few-Shot Dialogue Generation Without Annotated Data: A Transfer Learning Approach.I. Shalyminov, S. Lee, A. Eshghi, and O. Lemon. SIGdial, page 32-39. Association for Computational Linguistics, (2019)Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection.J. He, H. Su, J. Cai, I. Shalyminov, H. Song, and S. Mansour. NAACL-HLT, page 5976-5996. Association for Computational Linguistics, (2024)Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights.S. Mao, C. Zhang, H. Su, H. Song, I. Shalyminov, and W. Cai. CoRR, (2024)Improving Robustness of Neural Dialog Systems in a Data-Efficient Way with Turn Dropout.I. Shalyminov, and S. Lee. CoRR, (2018)Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation.I. Shalyminov, A. Sordoni, A. Atkinson, and H. Schulz. CoRR, (2020)FineSurE: Fine-grained Summarization Evaluation using LLMs.H. Song, H. Su, I. Shalyminov, J. Cai, and S. Mansour. ACL (1), page 906-922. Association for Computational Linguistics, (2024)Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks.I. Shalyminov, S. Lee, A. Eshghi, and O. Lemon. EMNLP/IJCNLP (1), page 1741-1751. Association for Computational Linguistics, (2019)Interactional dynamics and the emergence of language games.A. Eshghi, I. Shalyminov, and O. Lemon. FADLI@ESSLLI, volume 1863 of CEUR Workshop Proceedings, page 17-21. CEUR-WS.org, (2017)Enhancing Abstractiveness of Summarization Models through Calibrated Distillation.H. Song, I. Shalyminov, H. Su, S. Singh, K. Yao, and S. Mansour. EMNLP (Findings), page 7026-7036. Association for Computational Linguistics, (2023)

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Disambiguation of "Shalyminov, Igor"

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Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection.

Please choose a person to relate this publication to

Igor Barabash

Igor Smolitsch

Igor Popov

Igor Semechin

Igor Kasko

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shalyminov, Igor"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection.

Please choose a person to relate this publication to

Igor Barabash

Igor Smolitsch

Igor Popov

Igor Semechin

Igor Kasko

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection.