347 citations · 972 across the 42 of their papers we have counts for
6 papers · 1 filter
Discriminating Between Similar Nordic Languages
René Haas, Leon Derczynski
Automatic language identification is a challenging problem. Discriminating between closely related languages is especially difficult. This paper presents a machine learning approac…
Power Consumption Variation over Activation Functions
Leon Derczynski
The power that machine learning models consume when making predictions can be affected by a model's architecture. This paper presents various estimates of power consumption for a r…
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…
The Danish Gigaword Project
Leon Strømberg-Derczynski, Manuel R. Ciosici, Rebekah Baglini +12
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a f…
Directions in Abusive Language Training Data: Garbage In, Garbage Out
Bertie Vidgen, Leon Derczynski
Data-driven analysis and detection of abusive online content covers many different tasks, phenomena, contexts, and methodologies. This paper systematically reviews abusive language…
The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible
Nanna Inie, Jeanette Falk Olesen, Leon Derczynski
Misinformation spread presents a technological and social threat to society. With the advance of AI-based language models, automatically generated texts have become difficult to id…