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Label Verbalization and Entailment for Effective Zero- and Few-Shot
  Relation Extraction

Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction

8 September 2021
Oscar Sainz
Oier López de Lacalle
Gorka Labaka
Ander Barrena
Eneko Agirre
ArXivPDFHTML

Papers citing "Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation Extraction"

19 / 19 papers shown
Title
Prompt-based Personality Profiling: Reinforcement Learning for Relevance
  Filtering
Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering
Jan Hofmann
Cornelia Sindermann
Roman Klinger
19
0
0
06 Sep 2024
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction
William Hogan
Jingbo Shang
13
0
0
31 May 2024
Meta In-Context Learning Makes Large Language Models Better Zero and
  Few-Shot Relation Extractors
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
Guozheng Li
Peng Wang
Jiajun Liu
Yikai Guo
Ke Ji
Ziyu Shang
Zijie Xu
LRM
35
7
0
27 Apr 2024
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach
  for Relation Classification
Best of Both Worlds: A Pliable and Generalizable Neuro-Symbolic Approach for Relation Classification
Robert Vacareanu
F. Alam
M. Islam
Haris Riaz
Mihai Surdeanu
NAI
27
2
0
05 Mar 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in
  Information Extraction
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction
Jianwei Wang
Tianyin Wang
Ziqian Zeng
50
1
0
28 Feb 2024
Labels Need Prompts Too: Mask Matching for Natural Language
  Understanding Tasks
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Bo Li
Wei Ye
Quan-ding Wang
Wen Zhao
Shikun Zhang
VLM
30
1
0
14 Dec 2023
Continual Contrastive Finetuning Improves Low-Resource Relation
  Extraction
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
Wenxuan Zhou
Sheng Zhang
Tristan Naumann
Muhao Chen
Hoifung Poon
46
6
0
21 Dec 2022
Learning to Select from Multiple Options
Learning to Select from Multiple Options
Jiangshu Du
Wenpeng Yin
Congying Xia
Philip S. Yu
32
7
0
01 Dec 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction
Tianyi Wang
Jianwei Wang
Ziqian Zeng
21
2
0
25 Nov 2022
OpenStance: Real-world Zero-shot Stance Detection
OpenStance: Real-world Zero-shot Stance Detection
Hanzi Xu
Slobodan Vučetić
Wenpeng Yin
22
19
0
25 Oct 2022
Improving Distantly Supervised Relation Extraction by Natural Language
  Inference
Improving Distantly Supervised Relation Extraction by Natural Language Inference
Kang Zhou
Qiao Qiao
Yuepei Li
Qi Li
18
8
0
31 Jul 2022
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot
  with Multi-Source Learning
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-Shot Aspect-Based Sentiment Analysis
Zero-Shot Aspect-Based Sentiment Analysis
Lei Shu
Hu Xu
Bing-Quan Liu
Jiahua Chen
27
14
0
04 Feb 2022
Exploring the Limits of Natural Language Inference Based Setup for
  Few-Shot Intent Detection
Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
Ayush Kumar
Vijit Malik
Jithendra Vepa
22
1
0
14 Dec 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
71
1,029
0
01 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
238
805
0
14 Oct 2021
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language
  Models
Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models
Oscar Sainz
German Rigau
VLM
35
21
0
07 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,918
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,588
0
21 Jan 2020
1