ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.02657
  4. Cited By
Which Encoding is the Best for Text Classification in Chinese, English,
  Japanese and Korean?

Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?

8 August 2017
Xiang Zhang
Yann LeCun
ArXivPDFHTML

Papers citing "Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?"

14 / 14 papers shown
Title
Understanding and Mitigating Spurious Correlations in Text
  Classification with Neighborhood Analysis
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
Oscar Chew
Hsuan-Tien Lin
Kai-Wei Chang
Kuan-Hao Huang
43
5
0
23 May 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual
  Topic Modeling
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling
Xiaobao Wu
Xinshuai Dong
Thong Nguyen
Chaoqun Liu
Liangming Pan
Anh Tuan Luu
38
23
0
07 Apr 2023
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin
  Information
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
Zijun Sun
Xiaoya Li
Xiaofei Sun
Yuxian Meng
Xiang Ao
Qing He
Fei Wu
Jiwei Li
SSeg
57
184
0
30 Jun 2021
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language
  Representation
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
J. Clark
Dan Garrette
Iulia Turc
John Wieting
41
210
0
11 Mar 2021
Using Chinese Glyphs for Named Entity Recognition
Using Chinese Glyphs for Named Entity Recognition
Arijit Sehanobish
Chan Hee Song
26
22
0
22 Sep 2019
UER: An Open-Source Toolkit for Pre-training Models
UER: An Open-Source Toolkit for Pre-training Models
Zhe Zhao
Hui Chen
Jinbin Zhang
Xin Zhao
Tao Liu
Wei Lu
Xi Chen
Haotang Deng
Qi Ju
Xiaoyong Du
28
112
0
12 Sep 2019
System Demo for Transfer Learning across Vision and Text using Domain
  Specific CNN Accelerator for On-Device NLP Applications
System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications
Baohua Sun
Lin Yang
Michael Lin
Wenhan Zhang
Patrick Dong
Charles Young
Jason Dong
37
7
0
04 Jun 2019
Investigating an Effective Character-level Embedding in Korean Sentence
  Classification
Investigating an Effective Character-level Embedding in Korean Sentence Classification
Won Ik Cho
Seokhwan Kim
N. Kim
28
8
0
31 May 2019
An Investigation of Transfer Learning-Based Sentiment Analysis in
  Japanese
An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese
Enkhbold Bataa
Joshua Wu
21
33
0
23 May 2019
Glyce: Glyph-vectors for Chinese Character Representations
Glyce: Glyph-vectors for Chinese Character Representations
Yuxian Meng
Wei Wu
Fei Wang
Xiaoya Li
Ping Nie
J. Mei
Muyu Li
Qinghong Han
Xiaofei Sun
Jiwei Li
VLM
27
190
0
29 Jan 2019
Super Characters: A Conversion from Sentiment Classification to Image
  Classification
Super Characters: A Conversion from Sentiment Classification to Image Classification
Baohua Sun
Ling Yang
Patrick Dong
Wenhan Zhang
Jason Dong
Charles Young
25
32
0
15 Oct 2018
Natural Language Inference over Interaction Space
Natural Language Inference over Interaction Space
Yichen Gong
Heng Luo
Jian Zhang
18
264
0
13 Sep 2017
On the Role of Text Preprocessing in Neural Network Architectures: An
  Evaluation Study on Text Categorization and Sentiment Analysis
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
Jose Camacho-Collados
Mohammad Taher Pilehvar
40
141
0
06 Jul 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
1