Induction Networks for Few-Shot Text Classification

27 February 2019

Papers citing "Induction Networks for Few-Shot Text Classification"

35 / 85 papers shown

Title
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning Sarkar Snigdha Sarathi Das Arzoo Katiyar R. Passonneau Rui Zhang 40 141 0 15 Sep 2021
Effectiveness of Pre-training for Few-shot Intent Classification Haode Zhang Yuwei Zhang Li-Ming Zhan Jiaxin Chen Guangyuan Shi Xiao-Ming Wu Albert Y. S. Lam VLM 86 44 0 13 Sep 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification Huaxiu Yao Yingxin Wu Maruan Al-Shedivat Eric Xing VLM CLIP 72 11 0 10 Sep 2021
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification Chengcheng Han Zeqiu Fan Dongxiang Zhang Minghui Qiu Ming Gao Aoying Zhou VLM 32 61 0 26 Jul 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 40 19 0 23 Jul 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation Yingjun Du Nithin Holla Xiantong Zhen Cees G. M. Snoek Ekaterina Shutova 33 9 0 05 Jun 2021
ProtAugment: Unsupervised diverse short-texts paraphrasing for intent detection meta-learning Thomas Dopierre Christophe Gravier Wilfried Logerais 22 32 0 27 May 2021
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling Yutai Hou Y. Lai Cheng Chen Wanxiang Che Ting Liu 20 13 0 25 May 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
Few-shot Intent Classification and Slot Filling with Retrieved Examples Dian Yu Luheng He Yuan Zhang Xinya Du Panupong Pasupat Qi Li VLM 33 50 0 12 Apr 2021
Few-shot Learning for Slot Tagging with Attentive Relational Network Cennet Oguz Ngoc Thang Vu 28 10 0 03 Mar 2021
A Neural Few-Shot Text Classification Reality Check Thomas Dopierre Christophe Gravier Wilfried Logerais VLM 6 18 0 28 Jan 2021
Linguistically-Enriched and Context-Aware Zero-shot Slot Filling A. B. Siddique Fuad Jamour Vagelis Hristidis 40 23 0 16 Jan 2021
Few-Shot Named Entity Recognition: A Comprehensive Study Jiaxin Huang Chunyuan Li K. Subudhi Damien Jose S. Balakrishnan Weizhu Chen Baolin Peng Jianfeng Gao Jiawei Han 29 79 0 29 Dec 2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction Haiyang Yu Ningyu Zhang Shumin Deng Hongbin Ye Wei Zhang Huajun Chen 8 49 0 30 Oct 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference Jianguo Zhang Kazuma Hashimoto Wenhao Liu Chien-Sheng Wu Yao Wan Philip S. Yu R. Socher Caiming Xiong 14 92 0 25 Oct 2020
Few-shot Learning for Multi-label Intent Detection Yutai Hou Y. Lai Yushan Wu Wanxiang Che Ting Liu VLM 21 49 0 11 Oct 2020
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning Yi Yang Arzoo Katiyar NAI 36 61 0 06 Oct 2020
Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding Su Zhu Ruisheng Cao Lu Chen Kai Yu VLM 18 9 0 21 Sep 2020
FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding Yutai Hou Jiafeng Mao Y. Lai Cheng Chen Wanxiang Che Zhigang Chen Ting Liu 12 16 0 17 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 22 47 0 06 Sep 2020
A Survey on Text Classification: From Shallow to Deep Learning Qian Li Hao Peng Jianxin Li Congyin Xia Renyu Yang Lichao Sun Philip S. Yu Lifang He VLM 28 329 0 02 Aug 2020
Designing Neural Speaker Embeddings with Meta Learning Manoj Kumar Tae Jin Park Somer Bishop Shrikanth Narayanan 11 10 0 31 Jul 2020
Meta-learning for Few-shot Natural Language Processing: A Survey Wenpeng Yin 26 77 0 19 Jul 2020
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network Yutai Hou Wanxiang Che Y. Lai Zhihan Zhou Yijia Liu Han Liu Ting Liu 16 191 0 10 Jun 2020
Robust Layout-aware IE for Visually Rich Documents with Pre-trained Language Models Mengxi Wei Yifan He Qiong Zhang VLM 9 40 0 22 May 2020
Dynamic Memory Induction Networks for Few-Shot Text Classification Ruiying Geng Binhua Li Yongbin Li Jian Sun Xiao-Dan Zhu 22 79 0 12 May 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 37 28 0 29 Apr 2020
Learning to Classify Intents and Slot Labels Given a Handful of Examples Jason Krone Yi Zhang Mona T. Diab VLM 28 46 0 22 Apr 2020
Knowledge Guided Metric Learning for Few-Shot Text Classification Dianbo Sui Yubo Chen B. Mao Delai Qiu Kang Liu Jun Zhao 12 24 0 04 Apr 2020
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection Congying Xia Chenwei Zhang Hoang Nguyen Jiawei Zhang Philip Yu 14 43 0 04 Apr 2020
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Andrew McCallum SSL 21 118 0 10 Nov 2019
When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification Shumin Deng Ningyu Zhang Zhanlin Sun Jiaoyan Chen Huajun Chen VLM 13 45 0 22 Aug 2019
Few-shot Text Classification with Distributional Signatures Yujia Bao Menghua Wu Shiyu Chang Regina Barzilay 34 166 0 16 Aug 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 490 11,727 0 09 Mar 2017