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TACRED Revisited: A Thorough Evaluation of the TACRED Relation
  Extraction Task

TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

Annual Meeting of the Association for Computational Linguistics (ACL), 2020
30 April 2020
Christoph Alt
Aleksandra Gabryszak
Leonhard Hennig
ArXiv (abs)PDFHTML

Papers citing "TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task"

18 / 68 papers shown
Label Verbalization and Entailment for Effective Zero- and Few-Shot
  Relation Extraction
Label Verbalization and Entailment for Effective Zero- and Few-Shot Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Oscar Sainz
Oier López de Lacalle
Gorka Labaka
Ander Barrena
Eneko Agirre
192
135
0
08 Sep 2021
Robust Retrieval Augmented Generation for Zero-shot Slot Filling
Robust Retrieval Augmented Generation for Zero-shot Slot FillingConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Michael R. Glass
Gaetano Rossiello
Md. Faisal Mahbub Chowdhury
A. Gliozzo
RALM
171
35
0
31 Aug 2021
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot
  Learners
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot LearnersInternational Conference on Learning Representations (ICLR), 2021
Ningyu Zhang
Luoqiu Li
Xiang Chen
Shumin Deng
Zhen Bi
Chuanqi Tan
Fei Huang
Huajun Chen
VLM
398
199
0
30 Aug 2021
NEREL: A Russian Dataset with Nested Named Entities, Relations and
  Events
NEREL: A Russian Dataset with Nested Named Entities, Relations and EventsRecent Advances in Natural Language Processing (RANLP), 2021
Natalia Loukachevitch
Ekaterina Artemova
Tatiana Batura
Pavel Braslavski
Ilia Denisov
V. Ivanov
S. Manandhar
Alexander Pugachev
E. Tutubalina
NAI
163
21
0
30 Aug 2021
Knowing the No-match: Entity Alignment with Dangling Cases
Knowing the No-match: Entity Alignment with Dangling CasesAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Zequn Sun
Muhao Chen
Wei Hu
150
35
0
04 Jun 2021
PTR: Prompt Tuning with Rules for Text Classification
PTR: Prompt Tuning with Rules for Text ClassificationAI Open (AO), 2021
Xu Han
Weilin Zhao
Ning Ding
Zhiyuan Liu
Maosong Sun
VLM
368
577
0
24 May 2021
Learning from Noisy Labels for Entity-Centric Information Extraction
Learning from Noisy Labels for Entity-Centric Information ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Wenxuan Zhou
Muhao Chen
NoLa
200
70
0
17 Apr 2021
Re-TACRED: Addressing Shortcomings of the TACRED Dataset
Re-TACRED: Addressing Shortcomings of the TACRED DatasetAAAI Conference on Artificial Intelligence (AAAI), 2021
George Stoica
Emmanouil Antonios Platanios
Barnabas Poczos
242
137
0
16 Apr 2021
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization
  for Relation Extraction
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation ExtractionThe Web Conference (WWW), 2021
Xiang Chen
Ningyu Zhang
Xin Xie
Shumin Deng
Yunzhi Yao
Chuanqi Tan
Fei Huang
Luo Si
Huajun Chen
744
464
0
15 Apr 2021
GDPNet: Refining Latent Multi-View Graph for Relation Extraction
GDPNet: Refining Latent Multi-View Graph for Relation ExtractionAAAI Conference on Artificial Intelligence (AAAI), 2020
Fuzhao Xue
Aixin Sun
Hao Zhang
Eng Siong Chng
181
90
0
12 Dec 2020
Bootleg: Chasing the Tail with Self-Supervised Named Entity
  Disambiguation
Bootleg: Chasing the Tail with Self-Supervised Named Entity DisambiguationConference on Innovative Data Systems Research (CIDR), 2020
Laurel J. Orr
Megan Leszczynski
Simran Arora
Sen Wu
Neel Guha
Xiao Ling
Christopher Ré
401
49
0
20 Oct 2020
Relation Classification as Two-way Span-Prediction
Relation Classification as Two-way Span-Prediction
Amir D. N. Cohen
Shachar Rosenman
Yoav Goldberg
148
18
0
09 Oct 2020
Exposing Shallow Heuristics of Relation Extraction Models with Challenge
  Data
Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
Shachar Rosenman
Alon Jacovi
Yoav Goldberg
194
30
0
07 Oct 2020
Learning from Context or Names? An Empirical Study on Neural Relation
  Extraction
Learning from Context or Names? An Empirical Study on Neural Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Hao Peng
Tianyu Gao
Xu Han
Yankai Lin
Peng Li
Zhiyuan Liu
Maosong Sun
Jie Zhou
235
218
0
05 Oct 2020
On Robustness and Bias Analysis of BERT-based Relation Extraction
On Robustness and Bias Analysis of BERT-based Relation ExtractionChina Conference on Knowledge Graph and Semantic Computing (CKGSC), 2020
Luoqiu Li
Xiang Chen
Hongbin Ye
Zhen Bi
Shumin Deng
Ningyu Zhang
Huajun Chen
548
20
0
14 Sep 2020
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Devendra Singh Sachan
Yuhao Zhang
Peng Qi
William L. Hamilton
208
86
0
20 Aug 2020
Entities as Experts: Sparse Memory Access with Entity Supervision
Entities as Experts: Sparse Memory Access with Entity SupervisionConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Thibault Févry
Livio Baldini Soares
Nicholas FitzGerald
Eunsol Choi
Tom Kwiatkowski
RALM
353
170
0
15 Apr 2020
Data Augmentation for Personal Knowledge Base Population
Data Augmentation for Personal Knowledge Base Population
Lingraj S. Vannur
Balaji Ganesan
Lokesh Nagalapatti
Hima Patel
MN Thippeswamy
179
5
0
23 Feb 2020
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