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E-NER -- An Annotated Named Entity Recognition Corpus of Legal Text

E-NER -- An Annotated Named Entity Recognition Corpus of Legal Text

19 December 2022
Ting Wai Terence Au
Ingemar J. Cox
Vasileios Lampos
    AILaw
ArXivPDFHTML

Papers citing "E-NER -- An Annotated Named Entity Recognition Corpus of Legal Text"

5 / 5 papers shown
Title
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges
Farid Ariai
Gianluca Demartini
ELM
AILaw
VLM
36
4
0
25 Oct 2024
UniversalNER: Targeted Distillation from Large Language Models for Open
  Named Entity Recognition
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Wenxuan Zhou
Sheng Zhang
Yu Gu
Muhao Chen
Hoifung Poon
22
59
0
07 Aug 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
32
72
0
07 Jun 2023
FinBERT-MRC: financial named entity recognition using BERT under the
  machine reading comprehension paradigm
FinBERT-MRC: financial named entity recognition using BERT under the machine reading comprehension paradigm
Yuzhe Zhang
Hong Zhang
38
27
0
31 May 2022
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
241
1,444
0
18 Mar 2020
1