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Evaluating the Utility of Hand-crafted Features in Sequence Labelling

Evaluating the Utility of Hand-crafted Features in Sequence Labelling

28 August 2018
Minghao Wu
Fei Liu
Trevor Cohn
    SSL
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Papers citing "Evaluating the Utility of Hand-crafted Features in Sequence Labelling"

5 / 5 papers shown
Title
Machine learning and deep learning
Machine learning and deep learning
Christian Janiesch
Patrick Zschech
Kai Heinrich
16
1,167
0
12 Apr 2021
A Survey on Recent Advances in Sequence Labeling from Deep Learning
  Models
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models
Zhiyong He
Zanbo Wang
Wei Wei
Shanshan Feng
Xian-Ling Mao
Sheng Jiang
VLM
33
28
0
13 Nov 2020
Code and Named Entity Recognition in StackOverflow
Code and Named Entity Recognition in StackOverflow
Jeniya Tabassum
Mounica Maddela
Wei-ping Xu
Alan Ritter
59
114
0
04 May 2020
Neural Correction Model for Open-Domain Named Entity Recognition
Neural Correction Model for Open-Domain Named Entity Recognition
Mengdi Zhu
Zheye Deng
Wenhan Xiong
Mo Yu
Ming Zhang
William Yang Wang
21
6
0
13 Sep 2019
The Best of Both Worlds: Lexical Resources To Improve Low-Resource
  Part-of-Speech Tagging
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging
Barbara Plank
Sigrid Klerke
Zeljko Agic
NAI
49
4
0
21 Nov 2018
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