Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start

6 October 2020

Papers citing "Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start"

20 / 20 papers shown

Title
Discovering Latent Knowledge in Language Models Without Supervision Collin Burns Haotian Ye Dan Klein Jacob Steinhardt 50 322 0 07 Dec 2022
Learning to Select from Multiple Options Jiangshu Du Wenpeng Yin Congying Xia Philip S. Yu 27 7 0 01 Dec 2022
OpenStance: Real-world Zero-shot Stance Detection Hanzi Xu Slobodan Vučetić Wenpeng Yin 22 19 0 25 Oct 2022
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 114 93 0 06 Oct 2022
PART: Pre-trained Authorship Representation Transformer Javier Huertas-Tato Álvaro Huertas-García Alejandro Martín 26 8 0 30 Sep 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training Mingda Chen Jingfei Du Ramakanth Pasunuru Todor Mihaylov Srini Iyer Ves Stoyanov Zornitsa Kozareva SSL AI4MH 27 63 0 03 May 2022
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning Oscar Sainz Itziar Gonzalez-Dios Oier López de Lacalle Bonan Min Eneko Agirre 21 49 0 03 May 2022
Zero and Few-shot Learning for Author Profiling Mara Chinea-Rios Thomas Müller Gretel Liz De la Pena Sarracén Francisco Rangel Marc Franco-Salvador 21 14 0 22 Apr 2022
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference Bangzheng Li Wenpeng Yin Muhao Chen 22 29 0 12 Feb 2022
Zero-Shot Aspect-Based Sentiment Analysis Lei Shu Hu Xu Bing-Quan Liu Jiahua Chen 27 14 0 04 Feb 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models Tianbao Xie Chen Henry Wu Peng Shi Ruiqi Zhong Torsten Scholak ... Lingpeng Kong Rui Zhang Noah A. Smith Luke Zettlemoyer Tao Yu LMTD 26 296 0 16 Jan 2022
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection Ayush Kumar Vijit Malik Jithendra Vepa 15 1 0 14 Dec 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Trapit Bansal K. Gunasekaran Tong Wang Tsendsuren Munkhdalai Andrew McCallum SSL OOD 28 19 0 02 Nov 2021
Discrete and Soft Prompting for Multilingual Models Mengjie Zhao Hinrich Schütze LRM 13 71 0 08 Sep 2021
Entailment as Few-Shot Learner Sinong Wang Han Fang Madian Khabsa Hanzi Mao Hao Ma 30 183 0 29 Apr 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 19 50 0 24 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 209 179 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,918 0 31 Dec 2020
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters Mengjie Zhao Yi Zhu Ehsan Shareghi Ivan Vulić Roi Reichart Anna Korhonen Hinrich Schütze 19 64 0 31 Dec 2020
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 6,950 0 20 Apr 2018