- Anthology ID:
- 2023.repl4nlp-1.26
- Volume:
- Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita
- Venue:
- RepL4NLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 315–333
- Language:
- URL:
- https://aclanthology.org/2023.repl4nlp-1.26
- DOI:
- 10.18653/v1/2023.repl4nlp-1.26
- Bibkey:
- Cite (ACL):
- Lingfeng Shen, Haiyun Jiang, Lemao Liu, and Shuming Shi. 2023. Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model. In Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023), pages 315–333, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model (Shen et al., RepL4NLP 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.repl4nlp-1.26.pdf
Export citation
@inproceedings{shen-etal-2023-sen2pro,
title = "{S}en2{P}ro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model",
author = "Shen, Lingfeng and
Jiang, Haiyun and
Liu, Lemao and
Shi, Shuming",
editor = "Can, Burcu and
Mozes, Maximilian and
Cahyawijaya, Samuel and
Saphra, Naomi and
Kassner, Nora and
Ravfogel, Shauli and
Ravichander, Abhilasha and
Zhao, Chen and
Augenstein, Isabelle and
Rogers, Anna and
Cho, Kyunghyun and
Grefenstette, Edward and
Voita, Lena",
booktitle = "Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.repl4nlp-1.26",
doi = "10.18653/v1/2023.repl4nlp-1.26",
pages = "315--333",
}
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%0 Conference Proceedings %T Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model %A Shen, Lingfeng %A Jiang, Haiyun %A Liu, Lemao %A Shi, Shuming %Y Can, Burcu %Y Mozes, Maximilian %Y Cahyawijaya, Samuel %Y Saphra, Naomi %Y Kassner, Nora %Y Ravfogel, Shauli %Y Ravichander, Abhilasha %Y Zhao, Chen %Y Augenstein, Isabelle %Y Rogers, Anna %Y Cho, Kyunghyun %Y Grefenstette, Edward %Y Voita, Lena %S Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023) %D 2023 %8 July %I Association for Computational Linguistics %C Toronto, Canada %F shen-etal-2023-sen2pro %R 10.18653/v1/2023.repl4nlp-1.26 %U https://aclanthology.org/2023.repl4nlp-1.26 %U https://doi.org/10.18653/v1/2023.repl4nlp-1.26 %P 315-333
Markdown (Informal)
[Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model](https://aclanthology.org/2023.repl4nlp-1.26) (Shen et al., RepL4NLP 2023)
- Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model (Shen et al., RepL4NLP 2023)
ACL
- Lingfeng Shen, Haiyun Jiang, Lemao Liu, and Shuming Shi. 2023. Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model. In Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023), pages 315–333, Toronto, Canada. Association for Computational Linguistics.