Composed Variational Natural Language Generation for Few-shot Intents

Composed Variational Natural Language Generation for Few-shot Intents

21 September 2020

Philip Yu

Papers citing "Composed Variational Natural Language Generation for Few-shot Intents"

7 / 7 papers shown

Title
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 129 95 0 06 Oct 2022
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots Wenting Zhao Ye Liu Yao Wan Philip S. Yu 28 11 0 01 Mar 2022
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection Ayush Kumar Vijit Malik Jithendra Vepa 31 1 0 14 Dec 2021
Federated Social Recommendation with Graph Neural Network Zhiwei Liu Liangwei Yang Ziwei Fan Hao Peng Philip S. Yu FedML 21 152 0 21 Nov 2021
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System Congyin Xia Wenpeng Yin Yihao Feng Philip Yu CLL VLM 27 51 0 24 Apr 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation Kang Min Yoo Dongju Park Jaewook Kang Sang-Woo Lee Woomyeong Park 39 235 0 18 Apr 2021
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 6,748 0 26 Sep 2016