arXiv 2007.064932020-07-13cs.CL

HSD在2019年VLSP活动中的共同任务：Hate语音检测为社会公益服务

HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social Good

Umeå University（于默奥大学）；The Australian E-Health Research Centre, CSIRO（澳大利亚电子健康研究中心，联邦科学与工业研究组织）；University of Engineering and Technology (UET), Vietnam National University, Hanoi（河内国家大学工程技术大学）；InfoRE Technology Company（InfoRE技术公司）；Hanoi University of Science (HUS), Vietnam National University, Hanoi（河内国家大学自然科学大学）

Xuan-Son Vu, Thanh Vu, Mai-Vu Tran, Thanh Le-Cong, Huyen T M. Nguyen

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摘要：

本文描述了2019年VLSP研讨会上“仇恨言论检测”（HSD）任务的组织，该任务旨在检测越南文本项中仇恨言论的细粒度存在（即，消息）提取自Facebook，这是越南最受欢迎的社交网站（SNS）。该任务被组织为多类分类任务，并基于包含来自Facebook的25，431个越南文本项的大规模数据集。任务参与者被要求建立一个分类模型，该模型能够将项目分类为3个类别之一，即，“仇恨”、“冒犯”和“干净”。HSD吸引了大量参与者，是VLSP 2019的热门任务。特别值得一提的是，共有71支团队报名参加了这项任务，其中14支团队在2019年9月20日至2019年10月4日期间提交了380份有效提交的结果。

英文摘要：

The paper describes the organisation of the "HateSpeech Detection" (HSD) task at the VLSP workshop 2019 on detecting the fine-grained presence of hate speech in Vietnamese textual items (i.e., messages) extracted from Facebook, which is the most popular social network site (SNS) in Vietnam. The task is organised as a multi-class classification task and based on a large-scale dataset containing 25,431 Vietnamese textual items from Facebook. The task participants were challenged to build a classification model that is capable of classifying an item to one of 3 classes, i.e., "HATE", "OFFENSIVE" and "CLEAN". HSD attracted a large number of participants and was a popular task at VLSP 2019. In particular, there were 71 teams signed up for the task, 14 of them submitted results with 380 valid submissions from 20th September 2019 to 4th October 2019.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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