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Integrating Vectorized Lexical Constraints for Neural Machine Translation ...
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Contextual Semantic-Guided Entity-Centric GCN for Relation Extraction
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In: Mathematics; Volume 10; Issue 8; Pages: 1344 (2022)
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Virtual Reality-Integrated Immersion-Based Teaching to English Language Learning Outcome
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In: Front Psychol (2022)
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Alternated Training with Synthetic and Authentic Data for Neural Machine Translation ...
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CPM-2: Large-scale Cost-effective Pre-trained Language Models ...
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VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator ...
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Assessing Multilingual Fairness in Pre-trained Multimodal Representations ...
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Dialog{S}um: {A} Real-Life Scenario Dialogue Summarization Dataset ...
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Transfer Learning for Sequence Generation: from Single-source to Multi-source ...
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Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision ...
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Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ...
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SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ...
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Analyzing the Limits of Self-Supervision in Handling Bias in Language ...
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Statistically significant detection of semantic shifts using contextual word embeddings ...
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SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ...
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Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings ...
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Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation ...
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SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection ...
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Abstract:
Our repository presents the Sina Weibo Sexism Review (SWSR) dataset containing sexism-related posts in Chinese collected from Sina Weibo, as well as the Chinese lexicon SexHateLex . SWSR dataset consists of two files: SexWeibo.csv and SexComment.csv, and SexHateLex lexicon contains a list of 3016 abusive terms in the file SexHateLex.txt. Our work has been published in the Journal of Online Social Networks and Media. If you are interested in this dataset, please cite: Aiqi Jiang, Xiaohan Yang, Yang Liu, Arkaitz Zubiaga, SWSR: A Chinese dataset and lexicon for online sexism detection, Online Social Networks and Media, Volume 27, 2022, 100182, ISSN 2468-6964, https://doi.org/10.1016/j.osnem.2021.100182. If you have any queries or suggestions about our work, please contact us via a.jiang@qmul.ac.uk. We also welcome any ideas or cooperation related to Chinese sexist speech. ... : {"references": ["A. Jiang, X. Yang, Y. Liu and A. Zubiaga (2021). SWSR: A Chinese Dataset and Lexicon for Sexist Hate Speech Detection. Under review."]} ...
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Keyword:
Chinese Abusive Lexicon; Chinese Sexism Dataset; Hate Speech Detection; Natural Language Processing; Sexism Detection
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URL: https://dx.doi.org/10.5281/zenodo.4443063 https://zenodo.org/record/4443063
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