holatung/Kumlinda

Fortifying Community Truth: Developing Lexicons on Tech Facilitated GBV and Model for Low-resourced African Languages ( Hausa, Igbo, Yoruba and Swahili) # Kumlinda Fortifying Community Truth: Developing Lexicons on Tech Facilitated GBV and Model for Low-resourced African Languages ( Hausa, Igbo, Yoruba and Swahili) African languages are spoken by over a billion people, but they are under-represented in NLP research and development. Multiple challenges exist, including the limited availability of annotated training and evaluation datasets as well as the lack of understanding of which settings, languages, and recently proposed methods like cross-lingual transfer will be effective. Perpetrators of TFGBV (Tech-Facilitated Gender Based Violence) have used local nuances online to target women and girls, many generic or non-African model not trained on these languages have performed poorly in flagging some of these words on social media, we aim to move towards solutions for these challenges, focusing on the task of named entity recognition (NER). We present the creation of the largest to-date human-annotated NER corpus used on social media to target the female gender in four African languages (Hausa, Igbo, Yoruba, and Swahili). ## Supported Languages Language | ISO 639-2 code ------------- | ------------- Hausa | hau Igbo | ibo Yoruba | yor Swahili | swa ## Attributes Attribute | Contextualisation ------------- | ------------- Sexually Explicit | Comments expressing desire for genital nudity or depictions or descriptions of simulated or actual sexual acts. Vulgarity | Making explicit and offensive reference to sex or bodily functions. Insult | Remarks that include offensive and disrespectful words. Flirtation | Statements demonstrating inappropriate sexual advances with the intent to arouse sexual feelings. Misogyny/Gender Trolling | Passing sexist remarks, jokes, and memes, expressions treating women like objects, stereotyping women, sending unsolicited pornographic contents. ## Formats All the data and associated metadata together in one file will be available in csv and json file formats. `Kumlinda.csv` …