Categorizing Offensive Language in Social Networks: A Chinese Corpus, Systems and an Explainable Tool
Recently, more and more data have been generated in the online world, filled with offensive language such as threats, swear words or straightforward insults. It is disgraceful for a progressive society, and then the question arises on how language resources and technologies can cope with this challenge. However, previous work only analyzes the problem as a whole but fails to detect particular types of offensive content in a more fine-grained way, mainly because of the lack of annotated data. In this work, we present a densely annotated data-set COLA
Code (0)
등록된 구현이 없습니다.
Tasks
CoLASimilar Papers 제목 키워드 기반
bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media
This paper describes the work that our team bhanodaig did at Indian Institute of Technology (ISM) towards OffensEval i.e. identifying and categorizing offensive language in social media. Out of three sub-tasks, we have p…
General ClassificationSemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)
We present the results and the main findings of SemEval-2019 Task 6 on Identifying and Categorizing Offensive Language in Social Media (OffensEval). The task was based on a new dataset, the Offensive Language Identificat…
Language IdentificationEmoji Powered Capsule Network to Detect Type and Target of Offensive Posts in Social Media
This paper describes a novel research approach to detect type and target of offensive posts in social media using a capsule network. The input to the network was character embeddings combined with emoji embeddings. The a…
ConvAI at SemEval-2019 Task 6: Offensive Language Identification and Categorization with Perspective and BERT
This paper presents the application of two strong baseline systems for toxicity detection and evaluates their performance in identifying and categorizing offensive language in social media. PERSPECTIVE is an API, that se…
Language IdentificationCOLD: A Benchmark for Chinese Offensive Language Detection
Offensive language detection is increasingly crucial for maintaining a civilized social media platform and deploying pre-trained language models. However, this task in Chinese is still under exploration due to the scarci…