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Dual Supervised Learning for Natural Language Understanding and
  Generation

Dual Supervised Learning for Natural Language Understanding and Generation

15 May 2019
Shang-Yu Su
Chao-Wei Huang
Yun-Nung Chen
ArXivPDFHTML

Papers citing "Dual Supervised Learning for Natural Language Understanding and Generation"

11 / 11 papers shown
Title
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through
  Text Reconstruction
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
Qingyun Wang
Zixuan Zhang
Hongxiang Li
Xuan Liu
Jiawei Han
Huimin Zhao
Heng Ji
49
1
0
18 Jan 2024
A Unified Framework for Slot based Response Generation in a Multimodal
  Dialogue System
A Unified Framework for Slot based Response Generation in a Multimodal Dialogue System
Mauajama Firdaus
Avinash Madasu
Asif Ekbal
47
7
0
27 May 2023
Leveraging Key Information Modeling to Improve Less-Data Constrained
  News Headline Generation via Duality Fine-Tuning
Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning
Zhuoxuan Jiang
Lingfeng Qiao
Di Yin
Shanshan Feng
Bo Ren
SyDa
30
2
0
10 Oct 2022
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic
  Survey
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
Jinjie Ni
Tom Young
Vlad Pandelea
Fuzhao Xue
Min Zhang
54
268
0
10 May 2021
A Generative Model for Joint Natural Language Understanding and
  Generation
A Generative Model for Joint Natural Language Understanding and Generation
Bo-Hsiang Tseng
Jianpeng Cheng
Yimai Fang
David Vandyke
19
22
0
12 Jun 2020
Towards Unsupervised Language Understanding and Generation by Joint Dual
  Learning
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning
Shang-Yu Su
Chao-Wei Huang
Yun-Nung Chen
22
26
0
30 Apr 2020
Dual Learning for Semi-Supervised Natural Language Understanding
Dual Learning for Semi-Supervised Natural Language Understanding
Su Zhu
Ruisheng Cao
Kai Yu
43
31
0
26 Apr 2020
Leveraging Code Generation to Improve Code Retrieval and Summarization
  via Dual Learning
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning
Wei Ye
Rui Xie
Jinglei Zhang
Tianxiang Hu
Xiaoyin Wang
Shikun Zhang
31
74
0
24 Feb 2020
Evaluating the State-of-the-Art of End-to-End Natural Language
  Generation: The E2E NLG Challenge
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
Ondrej Dusek
Jekaterina Novikova
Verena Rieser
ELM
46
232
0
23 Jan 2019
Listening while Speaking: Speech Chain by Deep Learning
Listening while Speaking: Speech Chain by Deep Learning
Andros Tjandra
S. Sakti
Satoshi Nakamura
AuLLM
126
165
0
16 Jul 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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