16 citations · 52 across the 9 of their papers we have counts for
11 papers · 1 filter
Bridging the Domain Gap for Stance Detection for the Zulu language
Gcinizwe Dlamini, Imad Eddine Ibrahim Bekkouch, Adil Khan +1
Misinformation has become a major concern in recent last years given its spread across our information sources. In the past years, many NLP tasks have been introduced in this area,…
Optimal Size-Performance Tradeoffs: Weighing PoS Tagger Models
Magnus Jacobsen, Mikkel H. Sørensen, Leon Derczynski
Improvement in machine learning-based NLP performance are often presented with bigger models and more complex code. This presents a trade-off: better scores come at the cost of lar…
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 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…
Simple Natural Language Processing Tools for Danish
Leon Derczynski
This technical note describes a set of baseline tools for automatic processing of Danish text. The tools are machine-learning based, using natural language processing models traine…
Stance Prediction for Russian: Data and Analysis
Nikita Lozhnikov, Leon Derczynski, Manuel Mazzara
Stance detection is a critical component of rumour and fake news identification. It involves the extraction of the stance a particular author takes related to a given claim, both e…