183 citations · 552 across the 27 of their papers we have counts for
6 papers · 1 filter
Tackling Online Abuse: A Survey of Automated Abuse Detection Methods
Pushkar Mishra, Helen Yannakoudakis, Ekaterina Shutova
Abuse on the Internet represents an important societal problem of our time. Millions of Internet users face harassment, racism, personal attacks, and other types of abuse on online…
Multi-Task Learning for Coherence Modeling
Youmna Farag, Helen Yannakoudakis
We address the task of assessing discourse coherence, an aspect of text quality that is essential for many NLP tasks, such as summarization and language assessment. We propose a hi…
Context is Key: Grammatical Error Detection with Contextual Word Representations
Samuel Bell, Helen Yannakoudakis, Marek Rei
Grammatical error detection (GED) in non-native writing requires systems to identify a wide range of errors in text written by language learners. Error detection as a purely superv…
Learning Outside the Box: Discourse-level Features Improve Metaphor Identification
Jesse Mu, Helen Yannakoudakis, Ekaterina Shutova
Most current approaches to metaphor identification use restricted linguistic contexts, e.g. by considering only a verb's arguments or the sentence containing a phrase. Inspired by…
Abusive Language Detection with Graph Convolutional Networks
Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis +1
Abuse on the Internet represents a significant societal problem of our time. Previous research on automated abusive language detection in Twitter has shown that community-based pro…
Author Profiling for Hate Speech Detection
Pushkar Mishra, Marco Del Tredici, Helen Yannakoudakis +1
The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of abusive and offensive language on the Internet. Previous re…