105 citations · 509 across the 48 of their papers we have counts for
9 papers · 1 filter
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara
Allahsera Auguste Tapo, Bakary Coulibaly, Sébastien Diarra +6
Low-resource languages present unique challenges to (neural) machine translation. We discuss the case of Bambara, a Mande language for which training data is scarce and requires si…
WLV-RIT at HASOC-Dravidian-CodeMix-FIRE2020: Offensive Language Identification in Code-switched YouTube Comments
Tharindu Ranasinghe, Sarthak Gupte, Marcos Zampieri +1
This paper describes the WLV-RIT entry to the Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) shared task 2020. The HASOC 2020 organizers provid…
Multilingual Offensive Language Identification with Cross-lingual Embeddings
Tharindu Ranasinghe, Marcos Zampieri
Offensive content is pervasive in social media and a reason for concern to companies and government organizations. Several studies have been recently published investigating method…
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
Marcos Zampieri, Preslav Nakov, Sara Rosenthal +6
We present the results and main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval 2020). The task involves three subtas…
MaintNet: A Collaborative Open-Source Library for Predictive Maintenance Language Resources
Farhad Akhbardeh, Travis Desell, Marcos Zampieri
Maintenance record logbooks are an emerging text type in NLP. They typically consist of free text documents with many domain specific technical terms, abbreviations, as well as non…
SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification
Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov +2
The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression. Recent w…
Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study
Michael Leventhal, Allahsera Tapo, Sarah Luger +2
We present novel methods for assessing the quality of human-translated aligned texts for learning machine translation models of under-resourced languages. Malian university student…
Offensive Language Identification in Greek
Zeses Pitenis, Marcos Zampieri, Tharindu Ranasinghe
As offensive language has become a rising issue for online communities and social media platforms, researchers have been investigating ways of coping with abusive content and devel…
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data
Matthew Shardlow, Michael Cooper, Marcos Zampieri
Predicting which words are considered hard to understand for a given target population is a vital step in many NLP applications such as text simplification. This task is commonly r…