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SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic
  Specialisation for Chinese Sexism Detection in Social Media

SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media

15 November 2022
Aiqi Jiang
A. Zubiaga
ArXivPDFHTML

Papers citing "SexWEs: Domain-Aware Word Embeddings via Cross-lingual Semantic Specialisation for Chinese Sexism Detection in Social Media"

5 / 5 papers shown
Title
DeMod: A Holistic Tool with Explainable Detection and Personalized
  Modification for Toxicity Censorship
DeMod: A Holistic Tool with Explainable Detection and Personalized Modification for Toxicity Censorship
Y. K. Li
Peng Zhang
Hansu Gu
T. Lu
Siyuan Qiao
Yubo Shu
Y. Shao
Ning Gu
23
1
0
04 Nov 2024
SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection
SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection
Aiqi Jiang
Xiaohan Yang
Yang Liu
A. Zubiaga
31
68
0
06 Aug 2021
Multi-Adversarial Learning for Cross-Lingual Word Embeddings
Multi-Adversarial Learning for Cross-Lingual Word Embeddings
Haozhou Wang
James Henderson
Paola Merlo
GAN
34
8
0
16 Oct 2020
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical
  Resources
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić
Goran Glavas
N. Mrksic
Anna Korhonen
10
43
0
08 May 2018
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
241
13,283
0
25 Aug 2014
1