论文标题
HSD在2019年VLSP广告系列中共享任务：社会善良的仇恨言论检测
HSD Shared Task in VLSP Campaign 2019:Hate Speech Detection for Social Good
论文作者
论文摘要
本文描述了VLSP研讨会上的“ Hatespeech检测”（HSD）任务的组织，以检测从Facebook提取的越南文本中的仇恨言论（即消息），这是越南最受欢迎的社交网站（SNS）。该任务被组织为一项多级分类任务，并基于一个大规模数据集，该数据集包含来自Facebook的25,431个越南文本项目。任务参与者面临挑战，要建立一个能够将项目分类为3个类别之一的分类模型，即“仇恨”，“进攻”和“清洁”。 HSD吸引了大量参与者，并且是VLSP 2019的一项流行任务。特别是，有71个团队签署了这项任务，其中14个提交了结果，2019年9月20日至2019年10月4日，有380个有效提交的结果。
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.
