Author of the publication

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

Compression of Neural Machine Translation Models via Pruning.

A. See, M. Luong, and C. Manning. CoNLL, page 291-301. ACL, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Abigail Sheldrick

Constantin See

Otto See

Hans See

Michael See

Other publications of authors with the same name

Neural generation of open-ended text and dialogue.A. See. Stanford University, USA, (2021)Ramsey vs. Lexicographic Termination Proving.B. Cook, A. See, and F. Zuleger. TACAS, volume 7795 of Lecture Notes in Computer Science, page 47-61. Springer, (2013)What makes a good conversation? How controllable attributes affect human judgments.A. See, S. Roller, D. Kiela, and J. Weston. NAACL-HLT (1), page 1702-1723. Association for Computational Linguistics, (2019)Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent.E. Chi, A. Paranjape, A. See, C. Chiam, T. Chang, K. Kenealy, S. Lim, A. Hardy, C. Rastogi, H. Li and 11 other author(s). SIGDIAL, page 376-395. Association for Computational Linguistics, (2022)Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation.R. Tanno, D. Barrett, A. Sellergren, S. Ghaisas, S. Dathathri, A. See, J. Welbl, K. Singhal, S. Azizi, T. Tu and 13 other author(s). CoRR, (2023)Improving alignment of dialogue agents via targeted human judgements.A. Glaese, N. McAleese, M. Trebacz, J. Aslanides, V. Firoiu, T. Ewalds, M. Rauh, L. Weidinger, M. Chadwick, P. Thacker and 24 other author(s). CoRR, (2022)Compression of Neural Machine Translation Models via Pruning.A. See, M. Luong, and C. Manning. CoNLL, page 291-301. ACL, (2016)Do Massively Pretrained Language Models Make Better Storytellers?A. See, A. Pappu, R. Saxena, A. Yerukola, and C. Manning. CoNLL, page 843-861. Association for Computational Linguistics, (2019)Get To The Point: Summarization with Pointer-Generator Networks.A. See, P. Liu, and C. Manning. ACL (1), page 1073-1083. Association for Computational Linguistics, (2017)Understanding and predicting user dissatisfaction in a neural generative chatbot.A. See, and C. Manning. SIGDIAL, page 1-12. Association for Computational Linguistics, (2021)

BibSonomy

Disambiguation of "See, Abigail"

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

Compression of Neural Machine Translation Models via Pruning.

Please choose a person to relate this publication to

Abigail Sheldrick

Constantin See

Otto See

Hans See

Michael See

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "See, Abigail"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Compression of Neural Machine Translation Models via Pruning.

Please choose a person to relate this publication to

Abigail Sheldrick

Constantin See

Otto See

Hans See

Michael See

Other publications of authors with the same name

Disambiguation

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

Compression of Neural Machine Translation Models via Pruning.