Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning.

Rui Wang; Shijing Si; Guoyin Wang; Lei Zhang; Lawrence Carin; Ricardo Henao

doi:10.18653/V1/2020.FINDINGS-EMNLP.285

Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning.

Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao

Research output: Contribution to conference › Paper › peer-review

Original language	English (US)
Pages	3181-3186
DOIs	https://doi.org/10.18653/V1/2020.FINDINGS-EMNLP.285
State	Published - 2020
Externally published	Yes

Access to Document

10.18653/V1/2020.FINDINGS-EMNLP.285

https://dblp.org/rec/conf/emnlp/WangS0ZCH20

Cite this

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title = "Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning.",

author = "Rui Wang and Shijing Si and Guoyin Wang and Lei Zhang and Lawrence Carin and Ricardo Henao",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2020",

doi = "10.18653/V1/2020.FINDINGS-EMNLP.285",

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AU - Wang, Rui

AU - Si, Shijing

AU - Wang, Guoyin

AU - Zhang, Lei

AU - Carin, Lawrence

AU - Henao, Ricardo

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2020

Y1 - 2020

U2 - 10.18653/V1/2020.FINDINGS-EMNLP.285

DO - 10.18653/V1/2020.FINDINGS-EMNLP.285

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EP - 3186

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