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Empirical Evaluation of Multi-task Learning in Deep Neural Networks for
  Natural Language Processing

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing

16 August 2019
Jianquan Li
Xiaokang Liu
Wenpeng Yin
Min Yang
Liqun Ma
Yaohong Jin
    AIMat
ArXivPDFHTML

Papers citing "Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing"

3 / 3 papers shown
Title
Robust Natural Language Processing: Recent Advances, Challenges, and
  Future Directions
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions
Marwan Omar
Soohyeon Choi
Daehun Nyang
David A. Mohaisen
32
57
0
03 Jan 2022
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue
  Response Models
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models
Tianxing He
Jun Liu
Kyunghyun Cho
Myle Ott
Bing-Quan Liu
James R. Glass
Fuchun Peng
CLL
35
9
0
16 Oct 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,984
0
20 Apr 2018
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